Overview

Dataset statistics

Number of variables62
Number of observations131
Missing cells3227
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.6 KiB
Average record size in memory497.0 B

Variable types

Numeric13
Categorical40
Unsupported9

Alerts

airdate has constant value "2020-12-31" Constant
_embedded.show.dvdCountry.name has constant value "Korea, Republic of" Constant
_embedded.show.dvdCountry.code has constant value "KR" Constant
_embedded.show.dvdCountry.timezone has constant value "Asia/Seoul" Constant
url has a high cardinality: 131 distinct values High cardinality
name has a high cardinality: 106 distinct values High cardinality
_links.self.href has a high cardinality: 131 distinct values High cardinality
_embedded.show.url has a high cardinality: 71 distinct values High cardinality
_embedded.show.name has a high cardinality: 71 distinct values High cardinality
_embedded.show.premiered has a high cardinality: 56 distinct values High cardinality
_embedded.show.officialSite has a high cardinality: 61 distinct values High cardinality
_embedded.show.image.medium has a high cardinality: 66 distinct values High cardinality
_embedded.show.image.original has a high cardinality: 66 distinct values High cardinality
_embedded.show.summary has a high cardinality: 61 distinct values High cardinality
_embedded.show._links.self.href has a high cardinality: 71 distinct values High cardinality
_embedded.show._links.previousepisode.href has a high cardinality: 71 distinct values High cardinality
id is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
season is highly correlated with _embedded.show.id and 4 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded.show.runtime and 3 other fieldsHigh correlation
rating.average is highly correlated with _embedded.show.runtimeHigh correlation
_embedded.show.id is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 5 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.id and 3 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 5 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with season and 8 other fieldsHigh correlation
id is highly correlated with _embedded.show.externals.tvrageHigh correlation
season is highly correlated with number and 2 other fieldsHigh correlation
number is highly correlated with season and 4 other fieldsHigh correlation
runtime is highly correlated with number and 4 other fieldsHigh correlation
rating.average is highly correlated with _embedded.show.runtime and 2 other fieldsHigh correlation
_embedded.show.id is highly correlated with _embedded.show.weight and 3 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with season and 7 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with rating.average and 2 other fieldsHigh correlation
_embedded.show.weight is highly correlated with rating.average and 3 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with _embedded.show.rating.averageHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with _embedded.show.id and 2 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with number and 7 other fieldsHigh correlation
id is highly correlated with _embedded.show.externals.tvrageHigh correlation
season is highly correlated with _embedded.show.id and 3 other fieldsHigh correlation
number is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
runtime is highly correlated with _embedded.show.runtime and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 4 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with season and 2 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.id and 1 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 2 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with number and 5 other fieldsHigh correlation
id is highly correlated with season and 35 other fieldsHigh correlation
season is highly correlated with id and 23 other fieldsHigh correlation
number is highly correlated with id and 24 other fieldsHigh correlation
type is highly correlated with airtime and 24 other fieldsHigh correlation
airtime is highly correlated with type and 36 other fieldsHigh correlation
airstamp is highly correlated with id and 40 other fieldsHigh correlation
runtime is highly correlated with season and 39 other fieldsHigh correlation
summary is highly correlated with id and 34 other fieldsHigh correlation
rating.average is highly correlated with type and 33 other fieldsHigh correlation
image.medium is highly correlated with id and 41 other fieldsHigh correlation
image.original is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show.url is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.name is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.type is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.language is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.status is highly correlated with airstamp and 30 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with season and 40 other fieldsHigh correlation
_embedded.show.premiered is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.ended is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.officialSite is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.schedule.time is highly correlated with type and 38 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 35 other fieldsHigh correlation
_embedded.show.weight is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with airtime and 37 other fieldsHigh correlation
_embedded.show.webChannel.name is highly correlated with id and 42 other fieldsHigh correlation
_embedded.show.webChannel.country.name is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.country.code is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.country.timezone is highly correlated with id and 36 other fieldsHigh correlation
_embedded.show.webChannel.officialSite is highly correlated with id and 34 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with id and 40 other fieldsHigh correlation
_embedded.show.externals.imdb is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show.image.medium is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.image.original is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.summary is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.updated is highly correlated with id and 28 other fieldsHigh correlation
_embedded.show._links.self.href is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show._links.previousepisode.href is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 28 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 31 other fieldsHigh correlation
_embedded.show.network.name is highly correlated with id and 31 other fieldsHigh correlation
_embedded.show.network.country.name is highly correlated with id and 31 other fieldsHigh correlation
_embedded.show.network.country.code is highly correlated with id and 31 other fieldsHigh correlation
_embedded.show.network.country.timezone is highly correlated with id and 31 other fieldsHigh correlation
number has 5 (3.8%) missing values Missing
runtime has 14 (10.7%) missing values Missing
summary has 96 (73.3%) missing values Missing
rating.average has 107 (81.7%) missing values Missing
image.medium has 96 (73.3%) missing values Missing
image.original has 96 (73.3%) missing values Missing
_embedded.show.runtime has 48 (36.6%) missing values Missing
_embedded.show.averageRuntime has 12 (9.2%) missing values Missing
_embedded.show.ended has 70 (53.4%) missing values Missing
_embedded.show.officialSite has 28 (21.4%) missing values Missing
_embedded.show.rating.average has 96 (73.3%) missing values Missing
_embedded.show.network has 131 (100.0%) missing values Missing
_embedded.show.webChannel.country.name has 69 (52.7%) missing values Missing
_embedded.show.webChannel.country.code has 69 (52.7%) missing values Missing
_embedded.show.webChannel.country.timezone has 69 (52.7%) missing values Missing
_embedded.show.webChannel.officialSite has 44 (33.6%) missing values Missing
_embedded.show.dvdCountry has 131 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 129 (98.5%) missing values Missing
_embedded.show.externals.thetvdb has 37 (28.2%) missing values Missing
_embedded.show.externals.imdb has 60 (45.8%) missing values Missing
_embedded.show.image.medium has 8 (6.1%) missing values Missing
_embedded.show.image.original has 8 (6.1%) missing values Missing
_embedded.show.summary has 10 (7.6%) missing values Missing
image has 131 (100.0%) missing values Missing
_embedded.show._links.nextepisode.href has 124 (94.7%) missing values Missing
_embedded.show.webChannel.country has 131 (100.0%) missing values Missing
_embedded.show.image has 131 (100.0%) missing values Missing
_embedded.show.network.id has 125 (95.4%) missing values Missing
_embedded.show.network.name has 125 (95.4%) missing values Missing
_embedded.show.network.country.name has 125 (95.4%) missing values Missing
_embedded.show.network.country.code has 125 (95.4%) missing values Missing
_embedded.show.network.country.timezone has 125 (95.4%) missing values Missing
_embedded.show.network.officialSite has 131 (100.0%) missing values Missing
_embedded.show.dvdCountry.name has 129 (98.5%) missing values Missing
_embedded.show.dvdCountry.code has 129 (98.5%) missing values Missing
_embedded.show.dvdCountry.timezone has 129 (98.5%) missing values Missing
_embedded.show.webChannel has 131 (100.0%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
summary is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
_embedded.show.externals.tvrage is uniformly distributed Uniform
_embedded.show._links.nextepisode.href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
_embedded.show.genres is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.schedule.days is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network.officialSite is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-06 02:51:33.440652
Analysis finished2022-09-06 02:51:51.281921
Duration17.84 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2049189.389
Minimum1949329
Maximum2379934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:51.353620image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1949329
5-th percentile1949335.5
Q11996544
median2001670
Q32040813
95-th percentile2318327.5
Maximum2379934
Range430605
Interquartile range (IQR)44269

Descriptive statistics

Standard deviation110085.1206
Coefficient of variation (CV)0.05372130128
Kurtosis1.645338273
Mean2049189.389
Median Absolute Deviation (MAD)16187
Skewness1.718938592
Sum268443810
Variance1.211873377 × 1010
MonotonicityNot monotonic
2022-09-05T21:51:51.482249image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19779021
 
0.8%
20016691
 
0.8%
20016671
 
0.8%
20016661
 
0.8%
20016651
 
0.8%
20000731
 
0.8%
20000721
 
0.8%
19975381
 
0.8%
19975371
 
0.8%
19884051
 
0.8%
Other values (121)121
92.4%
ValueCountFrequency (%)
19493291
0.8%
19493301
0.8%
19493311
0.8%
19493321
0.8%
19493331
0.8%
19493341
0.8%
19493351
0.8%
19493361
0.8%
19503691
0.8%
19507031
0.8%
ValueCountFrequency (%)
23799341
0.8%
23244331
0.8%
23244321
0.8%
23244301
0.8%
23244291
0.8%
23244281
0.8%
23244271
0.8%
23122281
0.8%
23122271
0.8%
23122261
0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15
 
1
https://www.tvmaze.com/episodes/2001669/three-men-four-wheels-1x05-episode-5
 
1
https://www.tvmaze.com/episodes/2001667/three-men-four-wheels-1x03-episode-3
 
1
https://www.tvmaze.com/episodes/2001666/three-men-four-wheels-1x02-episode-2
 
1
https://www.tvmaze.com/episodes/2001665/three-men-four-wheels-1x01-episode-1
 
1
Other values (126)
126 

Length

Max length145
Median length105
Mean length81.61068702
Min length59

Characters and Unicode

Total characters10691
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15
2nd rowhttps://www.tvmaze.com/episodes/2015818/po-sezonu-videodajdzest-seasonvar-6x53-vypusk-307
3rd rowhttps://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-23
4th rowhttps://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacalo
5th rowhttps://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasov

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-151
 
0.8%
https://www.tvmaze.com/episodes/2001669/three-men-four-wheels-1x05-episode-51
 
0.8%
https://www.tvmaze.com/episodes/2001667/three-men-four-wheels-1x03-episode-31
 
0.8%
https://www.tvmaze.com/episodes/2001666/three-men-four-wheels-1x02-episode-21
 
0.8%
https://www.tvmaze.com/episodes/2001665/three-men-four-wheels-1x01-episode-11
 
0.8%
https://www.tvmaze.com/episodes/2000073/ultimate-note-1x26-episode-261
 
0.8%
https://www.tvmaze.com/episodes/2000072/ultimate-note-1x25-episode-251
 
0.8%
https://www.tvmaze.com/episodes/1997538/the-penalty-zone-1x30-episode-301
 
0.8%
https://www.tvmaze.com/episodes/1997537/the-penalty-zone-1x29-episode-291
 
0.8%
https://www.tvmaze.com/episodes/1988405/love-teenager-1x03-my-best-friends-guy-friend-likes-me1
 
0.8%
Other values (121)121
92.4%

Length

2022-09-05T21:51:51.617727image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-151
 
0.8%
https://www.tvmaze.com/episodes/2312225/unsolved-cases-of-kung-fu-portrait-of-beauty-1x09-episode-91
 
0.8%
https://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-231
 
0.8%
https://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacalo1
 
0.8%
https://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasov1
 
0.8%
https://www.tvmaze.com/episodes/1985789/theres-a-pit-in-my-senior-martial-brothers-brain-2x11-episode-111
 
0.8%
https://www.tvmaze.com/episodes/2039622/witches-1x05-episode-51
 
0.8%
https://www.tvmaze.com/episodes/2039623/witches-1x06-episode-61
 
0.8%
https://www.tvmaze.com/episodes/2324427/unique-lady-2x15-episode-151
 
0.8%
https://www.tvmaze.com/episodes/2324428/unique-lady-2x16-episode-161
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
e969
 
9.1%
-848
 
7.9%
s693
 
6.5%
/655
 
6.1%
t635
 
5.9%
o539
 
5.0%
w446
 
4.2%
i408
 
3.8%
a403
 
3.8%
p375
 
3.5%
Other values (30)4720
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7303
68.3%
Decimal Number1492
 
14.0%
Other Punctuation1048
 
9.8%
Dash Punctuation848
 
7.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e969
13.3%
s693
 
9.5%
t635
 
8.7%
o539
 
7.4%
w446
 
6.1%
i408
 
5.6%
a403
 
5.5%
p375
 
5.1%
m352
 
4.8%
d322
 
4.4%
Other values (16)2161
29.6%
Decimal Number
ValueCountFrequency (%)
1262
17.6%
2244
16.4%
0240
16.1%
9158
10.6%
3128
8.6%
697
 
6.5%
795
 
6.4%
892
 
6.2%
490
 
6.0%
586
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-848
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7303
68.3%
Common3388
31.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e969
13.3%
s693
 
9.5%
t635
 
8.7%
o539
 
7.4%
w446
 
6.1%
i408
 
5.6%
a403
 
5.5%
p375
 
5.1%
m352
 
4.8%
d322
 
4.4%
Other values (16)2161
29.6%
Common
ValueCountFrequency (%)
-848
25.0%
/655
19.3%
.262
 
7.7%
1262
 
7.7%
2244
 
7.2%
0240
 
7.1%
9158
 
4.7%
:131
 
3.9%
3128
 
3.8%
697
 
2.9%
Other values (4)363
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII10691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e969
 
9.1%
-848
 
7.9%
s693
 
6.5%
/655
 
6.1%
t635
 
5.9%
o539
 
5.0%
w446
 
4.2%
i408
 
3.8%
a403
 
3.8%
p375
 
3.5%
Other values (30)4720
44.1%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct106
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Episode 7
 
7
Episode 8
 
4
Episode 9
 
3
Episode 5
 
3
Episode 15
 
3
Other values (101)
111 

Length

Max length60
Median length53
Mean length17.17557252
Min length6

Characters and Unicode

Total characters2250
Distinct characters135
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)69.5%

Sample

1st rowСерия 15
2nd rowВыпуск 307
3rd rowСерия 23
4th rowНачало
5th rowЯрослав Кондрашов

Common Values

ValueCountFrequency (%)
Episode 77
 
5.3%
Episode 84
 
3.1%
Episode 93
 
2.3%
Episode 53
 
2.3%
Episode 153
 
2.3%
Episode 172
 
1.5%
Episode 202
 
1.5%
Episode 42
 
1.5%
Episode 182
 
1.5%
Episode 192
 
1.5%
Other values (96)101
77.1%

Length

2022-09-05T21:51:51.746640image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode55
 
13.2%
the24
 
5.7%
78
 
1.9%
of8
 
1.9%
chapter8
 
1.9%
7
 
1.7%
84
 
1.0%
154
 
1.0%
with4
 
1.0%
i4
 
1.0%
Other values (235)292
69.9%

Most occurring characters

ValueCountFrequency (%)
287
 
12.8%
e209
 
9.3%
i123
 
5.5%
o112
 
5.0%
s101
 
4.5%
d92
 
4.1%
r80
 
3.6%
p72
 
3.2%
a72
 
3.2%
t71
 
3.2%
Other values (125)1031
45.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1453
64.6%
Uppercase Letter307
 
13.6%
Space Separator287
 
12.8%
Decimal Number134
 
6.0%
Other Punctuation39
 
1.7%
Other Letter12
 
0.5%
Dash Punctuation10
 
0.4%
Connector Punctuation2
 
0.1%
Close Punctuation2
 
0.1%
Math Symbol2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e209
14.4%
i123
 
8.5%
o112
 
7.7%
s101
 
7.0%
d92
 
6.3%
r80
 
5.5%
p72
 
5.0%
a72
 
5.0%
t71
 
4.9%
n67
 
4.6%
Other values (48)454
31.2%
Uppercase Letter
ValueCountFrequency (%)
E62
20.2%
T37
 
12.1%
M16
 
5.2%
D15
 
4.9%
S14
 
4.6%
W11
 
3.6%
B11
 
3.6%
I11
 
3.6%
F10
 
3.3%
C10
 
3.3%
Other values (35)110
35.8%
Decimal Number
ValueCountFrequency (%)
132
23.9%
221
15.7%
715
11.2%
313
9.7%
012
 
9.0%
511
 
8.2%
610
 
7.5%
88
 
6.0%
46
 
4.5%
96
 
4.5%
Other Letter
ValueCountFrequency (%)
ي2
16.7%
ل2
16.7%
ا2
16.7%
ة1
8.3%
ه1
8.3%
ب1
8.3%
ن1
8.3%
و1
8.3%
س1
8.3%
Other Punctuation
ValueCountFrequency (%)
.15
38.5%
:8
20.5%
,6
 
15.4%
'6
 
15.4%
!2
 
5.1%
1
 
2.6%
/1
 
2.6%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
-10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Math Symbol
ValueCountFrequency (%)
|2
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1552
69.0%
Common478
 
21.2%
Cyrillic208
 
9.2%
Arabic12
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e209
 
13.5%
i123
 
7.9%
o112
 
7.2%
s101
 
6.5%
d92
 
5.9%
r80
 
5.2%
p72
 
4.6%
a72
 
4.6%
t71
 
4.6%
n67
 
4.3%
Other values (49)553
35.6%
Cyrillic
ValueCountFrequency (%)
о24
 
11.5%
а19
 
9.1%
в15
 
7.2%
р10
 
4.8%
д9
 
4.3%
е9
 
4.3%
и9
 
4.3%
л8
 
3.8%
Г8
 
3.8%
у7
 
3.4%
Other values (34)90
43.3%
Common
ValueCountFrequency (%)
287
60.0%
132
 
6.7%
221
 
4.4%
.15
 
3.1%
715
 
3.1%
313
 
2.7%
012
 
2.5%
511
 
2.3%
610
 
2.1%
-10
 
2.1%
Other values (13)52
 
10.9%
Arabic
ValueCountFrequency (%)
ي2
16.7%
ل2
16.7%
ا2
16.7%
ة1
8.3%
ه1
8.3%
ب1
8.3%
ن1
8.3%
و1
8.3%
س1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2017
89.6%
Cyrillic208
 
9.2%
None12
 
0.5%
Arabic12
 
0.5%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
 
14.2%
e209
 
10.4%
i123
 
6.1%
o112
 
5.6%
s101
 
5.0%
d92
 
4.6%
r80
 
4.0%
p72
 
3.6%
a72
 
3.6%
t71
 
3.5%
Other values (63)798
39.6%
Cyrillic
ValueCountFrequency (%)
о24
 
11.5%
а19
 
9.1%
в15
 
7.2%
р10
 
4.8%
д9
 
4.3%
е9
 
4.3%
и9
 
4.3%
л8
 
3.8%
Г8
 
3.8%
у7
 
3.4%
Other values (34)90
43.3%
None
ValueCountFrequency (%)
ı3
25.0%
ö3
25.0%
Ö1
 
8.3%
ş1
 
8.3%
ü1
 
8.3%
é1
 
8.3%
ç1
 
8.3%
ã1
 
8.3%
Arabic
ValueCountFrequency (%)
ي2
16.7%
ل2
16.7%
ا2
16.7%
ة1
8.3%
ه1
8.3%
ب1
8.3%
ن1
8.3%
و1
8.3%
س1
8.3%
Punctuation
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct13
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.9694656
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:51.848113image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation484.9189296
Coefficient of variation (CV)3.849495805
Kurtosis11.93271429
Mean125.9694656
Median Absolute Deviation (MAD)1
Skewness3.707925458
Sum16502
Variance235146.3683
MonotonicityNot monotonic
2022-09-05T21:51:51.942793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
164
48.9%
225
 
19.1%
312
 
9.2%
411
 
8.4%
20208
 
6.1%
53
 
2.3%
62
 
1.5%
81
 
0.8%
71
 
0.8%
511
 
0.8%
Other values (3)3
 
2.3%
ValueCountFrequency (%)
164
48.9%
225
 
19.1%
312
 
9.2%
411
 
8.4%
53
 
2.3%
62
 
1.5%
71
 
0.8%
81
 
0.8%
91
 
0.8%
151
 
0.8%
ValueCountFrequency (%)
20208
6.1%
511
 
0.8%
311
 
0.8%
151
 
0.8%
91
 
0.8%
81
 
0.8%
71
 
0.8%
62
 
1.5%
53
 
2.3%
411
8.4%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct38
Distinct (%)30.2%
Missing5
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean20.57142857
Minimum1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:52.044954image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q316.75
95-th percentile53
Maximum358
Range357
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation51.1541089
Coefficient of variation (CV)2.486658071
Kurtosis33.48593888
Mean20.57142857
Median Absolute Deviation (MAD)4
Skewness5.713831174
Sum2592
Variance2616.742857
MonotonicityNot monotonic
2022-09-05T21:51:52.165342image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
711
 
8.4%
810
 
7.6%
38
 
6.1%
48
 
6.1%
28
 
6.1%
58
 
6.1%
67
 
5.3%
96
 
4.6%
16
 
4.6%
106
 
4.6%
Other values (28)48
36.6%
ValueCountFrequency (%)
16
4.6%
28
6.1%
38
6.1%
48
6.1%
58
6.1%
67
5.3%
711
8.4%
810
7.6%
96
4.6%
106
4.6%
ValueCountFrequency (%)
3581
 
0.8%
3241
 
0.8%
3231
 
0.8%
721
 
0.8%
571
 
0.8%
551
 
0.8%
533
2.3%
501
 
0.8%
381
 
0.8%
371
 
0.8%

type
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
regular
126 
insignificant_special
 
3
significant_special
 
2

Length

Max length21
Median length7
Mean length7.503816794
Min length7

Characters and Unicode

Total characters983
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowsignificant_special
5th rowregular

Common Values

ValueCountFrequency (%)
regular126
96.2%
insignificant_special3
 
2.3%
significant_special2
 
1.5%

Length

2022-09-05T21:51:52.268445image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:52.358826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
regular126
96.2%
insignificant_special3
 
2.3%
significant_special2
 
1.5%

Most occurring characters

ValueCountFrequency (%)
r252
25.6%
a136
13.8%
e131
13.3%
g131
13.3%
l131
13.3%
u126
12.8%
i23
 
2.3%
n13
 
1.3%
s10
 
1.0%
c10
 
1.0%
Other values (4)20
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter978
99.5%
Connector Punctuation5
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r252
25.8%
a136
13.9%
e131
13.4%
g131
13.4%
l131
13.4%
u126
12.9%
i23
 
2.4%
n13
 
1.3%
s10
 
1.0%
c10
 
1.0%
Other values (3)15
 
1.5%
Connector Punctuation
ValueCountFrequency (%)
_5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin978
99.5%
Common5
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r252
25.8%
a136
13.9%
e131
13.4%
g131
13.4%
l131
13.4%
u126
12.9%
i23
 
2.4%
n13
 
1.3%
s10
 
1.0%
c10
 
1.0%
Other values (3)15
 
1.5%
Common
ValueCountFrequency (%)
_5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r252
25.6%
a136
13.8%
e131
13.3%
g131
13.3%
l131
13.3%
u126
12.8%
i23
 
2.3%
n13
 
1.3%
s10
 
1.0%
c10
 
1.0%
Other values (4)20
 
2.0%

airdate
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-31
131 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-31
2nd row2020-12-31
3rd row2020-12-31
4th row2020-12-31
5th row2020-12-31

Common Values

ValueCountFrequency (%)
2020-12-31131
100.0%

Length

2022-09-05T21:51:52.459990image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:52.570724image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-31131
100.0%

Most occurring characters

ValueCountFrequency (%)
2393
30.0%
0262
20.0%
-262
20.0%
1262
20.0%
3131
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2393
37.5%
0262
25.0%
1262
25.0%
3131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2393
30.0%
0262
20.0%
-262
20.0%
1262
20.0%
3131
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2393
30.0%
0262
20.0%
-262
20.0%
1262
20.0%
3131
 
10.0%

airtime
Categorical

HIGH CORRELATION

Distinct14
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
99 
12:00
10 
21:00
 
8
20:00
 
3
19:00
 
2
Other values (9)
 
9

Length

Max length5
Median length0
Mean length1.221374046
Min length0

Characters and Unicode

Total characters160
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)6.9%

Sample

1st row10:00
2nd row
3rd row
4th row
5th row12:00

Common Values

ValueCountFrequency (%)
99
75.6%
12:0010
 
7.6%
21:008
 
6.1%
20:003
 
2.3%
19:002
 
1.5%
10:001
 
0.8%
11:001
 
0.8%
06:001
 
0.8%
17:001
 
0.8%
18:001
 
0.8%
Other values (4)4
 
3.1%

Length

2022-09-05T21:51:52.677510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12:0010
31.2%
21:008
25.0%
20:003
 
9.4%
19:002
 
6.2%
10:001
 
3.1%
11:001
 
3.1%
06:001
 
3.1%
17:001
 
3.1%
18:001
 
3.1%
22:001
 
3.1%
Other values (3)3
 
9.4%

Most occurring characters

ValueCountFrequency (%)
068
42.5%
:32
20.0%
127
 
16.9%
224
 
15.0%
94
 
2.5%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number128
80.0%
Other Punctuation32
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
068
53.1%
127
 
21.1%
224
 
18.8%
94
 
3.1%
52
 
1.6%
61
 
0.8%
71
 
0.8%
81
 
0.8%
Other Punctuation
ValueCountFrequency (%)
:32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
068
42.5%
:32
20.0%
127
 
16.9%
224
 
15.0%
94
 
2.5%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
068
42.5%
:32
20.0%
127
 
16.9%
224
 
15.0%
94
 
2.5%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

airstamp
Categorical

HIGH CORRELATION

Distinct17
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-31T12:00:00+00:00
60 
2020-12-31T04:00:00+00:00
29 
2020-12-31T09:00:00+00:00
2021-01-01T02:00:00+00:00
 
6
2020-12-31T17:00:00+00:00
 
6
Other values (12)
21 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3275
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)5.3%

Sample

1st row2020-12-30T22:00:00+00:00
2nd row2020-12-31T00:00:00+00:00
3rd row2020-12-31T00:00:00+00:00
4th row2020-12-31T00:00:00+00:00
5th row2020-12-31T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-31T12:00:00+00:0060
45.8%
2020-12-31T04:00:00+00:0029
22.1%
2020-12-31T09:00:00+00:009
 
6.9%
2021-01-01T02:00:00+00:006
 
4.6%
2020-12-31T17:00:00+00:006
 
4.6%
2020-12-31T00:00:00+00:004
 
3.1%
2020-12-31T10:00:00+00:003
 
2.3%
2020-12-31T03:00:00+00:003
 
2.3%
2020-12-31T11:00:00+00:002
 
1.5%
2020-12-31T14:00:00+00:002
 
1.5%
Other values (7)7
 
5.3%

Length

2022-09-05T21:51:52.775017image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-31t12:00:00+00:0060
45.8%
2020-12-31t04:00:00+00:0029
22.1%
2020-12-31t09:00:00+00:009
 
6.9%
2021-01-01t02:00:00+00:006
 
4.6%
2020-12-31t17:00:00+00:006
 
4.6%
2020-12-31t00:00:00+00:004
 
3.1%
2020-12-31t10:00:00+00:003
 
2.3%
2020-12-31t03:00:00+00:003
 
2.3%
2020-12-31t14:00:00+00:002
 
1.5%
2020-12-31t11:00:00+00:002
 
1.5%
Other values (7)7
 
5.3%

Most occurring characters

ValueCountFrequency (%)
01377
42.0%
2457
 
14.0%
:393
 
12.0%
1344
 
10.5%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
3128
 
3.9%
431
 
0.9%
910
 
0.3%
Other values (3)11
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2358
72.0%
Other Punctuation393
 
12.0%
Dash Punctuation262
 
8.0%
Uppercase Letter131
 
4.0%
Math Symbol131
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01377
58.4%
2457
 
19.4%
1344
 
14.6%
3128
 
5.4%
431
 
1.3%
910
 
0.4%
77
 
0.3%
82
 
0.1%
52
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:393
100.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%
Uppercase Letter
ValueCountFrequency (%)
T131
100.0%
Math Symbol
ValueCountFrequency (%)
+131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3144
96.0%
Latin131
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01377
43.8%
2457
 
14.5%
:393
 
12.5%
1344
 
10.9%
-262
 
8.3%
+131
 
4.2%
3128
 
4.1%
431
 
1.0%
910
 
0.3%
77
 
0.2%
Other values (2)4
 
0.1%
Latin
ValueCountFrequency (%)
T131
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01377
42.0%
2457
 
14.0%
:393
 
12.0%
1344
 
10.5%
-262
 
8.0%
T131
 
4.0%
+131
 
4.0%
3128
 
3.9%
431
 
0.9%
910
 
0.3%
Other values (3)11
 
0.3%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct39
Distinct (%)33.3%
Missing14
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean40.87179487
Minimum4
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:52.881264image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.6
Q130
median40
Q350
95-th percentile60.6
Maximum213
Range209
Interquartile range (IQR)20

Descriptive statistics

Standard deviation26.06706816
Coefficient of variation (CV)0.6377764481
Kurtosis16.89941593
Mean40.87179487
Median Absolute Deviation (MAD)10
Skewness3.037413861
Sum4782
Variance679.4920424
MonotonicityNot monotonic
2022-09-05T21:51:53.020140image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4523
17.6%
3022
16.8%
6011
 
8.4%
408
 
6.1%
205
 
3.8%
1203
 
2.3%
103
 
2.3%
572
 
1.5%
122
 
1.5%
482
 
1.5%
Other values (29)36
27.5%
(Missing)14
 
10.7%
ValueCountFrequency (%)
42
1.5%
51
 
0.8%
62
1.5%
71
 
0.8%
91
 
0.8%
103
2.3%
122
1.5%
151
 
0.8%
171
 
0.8%
181
 
0.8%
ValueCountFrequency (%)
2131
 
0.8%
1203
 
2.3%
671
 
0.8%
631
 
0.8%
6011
8.4%
591
 
0.8%
582
 
1.5%
572
 
1.5%
561
 
0.8%
541
 
0.8%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct35
Distinct (%)100.0%
Missing96
Missing (%)73.3%
Memory size1.1 KiB
<p>Yun Woo recruits Yoo Han's help and together they search for his mother. As they dig deeper into the mystery surrounding her disappearance, an unexpected story begins to unfold. </p>
 
1
<p>The darkest days of the void arrive as Sabrina struggles with grief and regret. Can she summon the strength to overcome an endless cycle of destruction?</p>
 
1
<p>Mother Abagail selects a surprising voice to be her conduit to her chosen Committee in Boulder: the young deaf man Nick Andros. The arrival of a disturbing visitor to the Boulder Free Zone, shakes the Committee and Boulder residents to their core. Elsewhere in the Free Zone, Nadine Cross is haunted by a childhood memory.</p>
 
1
<p>This week, Director Jonathan Frakes joins host Wil Wheaton (Star Trek: The Next Generation) in "The Ready Room" to discuss Star Trek's complex new villain, the state of the distant future in the Star Trek Universe, and more!</p>
 
1
<p>Tai's family finds a way to pay off their family's debt to Ms. Second.  Tien is even able to recover Tai's heirloom.  </p>
 
1
Other values (30)
30 

Length

Max length329
Median length153
Mean length139.9428571
Min length24

Characters and Unicode

Total characters4898
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row<p>Yun Woo recruits Yoo Han's help and together they search for his mother. As they dig deeper into the mystery surrounding her disappearance, an unexpected story begins to unfold. </p>
2nd row<p>After capturing the U.S.S. Discovery, Osyraa seeks a meeting with Admiral Vance while Burnham and the crew must overcome unimaginable odds as they attempt to regain command of their ship.</p>
3rd row<p>Loudermilk becomes a dad. Sort of.</p>
4th row<p>Ben shows off some unusual talents.</p>
5th row<p>Loudermilk and the group are challenged.</p>

Common Values

ValueCountFrequency (%)
<p>Yun Woo recruits Yoo Han's help and together they search for his mother. As they dig deeper into the mystery surrounding her disappearance, an unexpected story begins to unfold. </p>1
 
0.8%
<p>The darkest days of the void arrive as Sabrina struggles with grief and regret. Can she summon the strength to overcome an endless cycle of destruction?</p>1
 
0.8%
<p>Mother Abagail selects a surprising voice to be her conduit to her chosen Committee in Boulder: the young deaf man Nick Andros. The arrival of a disturbing visitor to the Boulder Free Zone, shakes the Committee and Boulder residents to their core. Elsewhere in the Free Zone, Nadine Cross is haunted by a childhood memory.</p>1
 
0.8%
<p>This week, Director Jonathan Frakes joins host Wil Wheaton (Star Trek: The Next Generation) in "The Ready Room" to discuss Star Trek's complex new villain, the state of the distant future in the Star Trek Universe, and more!</p>1
 
0.8%
<p>Tai's family finds a way to pay off their family's debt to Ms. Second.  Tien is even able to recover Tai's heirloom.  </p>1
 
0.8%
<p>The five friends take Ellen to the airport and something unexpected happens.</p>1
 
0.8%
<p>The Highest suspects that Dikahn is with someone then finds out who it may be. Lilo disrupts the status quo at the compound in several ways. Ruth plans an escape while Brian sneakily tests Lynn for drugs.</p>1
 
0.8%
<p>Suppressed emotions unleash and things come to a boil as revelations unravel in the season finale.</p>1
 
0.8%
<p>To protect his rich and strategic lands in France, the English king, Richard the Lionheart, decided to build an impregnable castle to bar the route along the Seine, thus asserting his supremacy in Normandy. Four years later, France's King Philip besieged the site at the head of an army of 6,000 men.</p>1
 
0.8%
<p>La Rochelle. It's hard to believe that 400 years ago, this popular seaside destination was the scene of one of the bloodiest sieges in the history of France, and for the Catholic King, Louis XIII, it was the last stronghold needing to be abolished before he could reign fully over the country.</p>1
 
0.8%
Other values (25)25
 
19.1%
(Missing)96
73.3%

Length

2022-09-05T21:51:53.131008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the50
 
6.3%
and28
 
3.5%
a25
 
3.2%
to24
 
3.0%
of17
 
2.2%
in15
 
1.9%
an10
 
1.3%
for8
 
1.0%
as8
 
1.0%
is8
 
1.0%
Other values (463)597
75.6%

Most occurring characters

ValueCountFrequency (%)
750
15.3%
e446
 
9.1%
a309
 
6.3%
t287
 
5.9%
n285
 
5.8%
s265
 
5.4%
i264
 
5.4%
r252
 
5.1%
o247
 
5.0%
h175
 
3.6%
Other values (66)1618
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3612
73.7%
Space Separator757
 
15.5%
Uppercase Letter195
 
4.0%
Math Symbol160
 
3.3%
Other Punctuation149
 
3.0%
Decimal Number16
 
0.3%
Dash Punctuation7
 
0.1%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e446
12.3%
a309
 
8.6%
t287
 
7.9%
n285
 
7.9%
s265
 
7.3%
i264
 
7.3%
r252
 
7.0%
o247
 
6.8%
h175
 
4.8%
p143
 
4.0%
Other values (16)939
26.0%
Uppercase Letter
ValueCountFrequency (%)
T21
 
10.8%
S20
 
10.3%
B15
 
7.7%
C15
 
7.7%
A14
 
7.2%
L13
 
6.7%
R12
 
6.2%
H11
 
5.6%
F9
 
4.6%
E9
 
4.6%
Other values (15)56
28.7%
Other Punctuation
ValueCountFrequency (%)
.62
41.6%
/41
27.5%
,26
17.4%
'11
 
7.4%
?3
 
2.0%
"2
 
1.3%
:2
 
1.3%
!1
 
0.7%
1
 
0.7%
Decimal Number
ValueCountFrequency (%)
05
31.2%
43
18.8%
22
 
12.5%
12
 
12.5%
71
 
6.2%
91
 
6.2%
81
 
6.2%
61
 
6.2%
Space Separator
ValueCountFrequency (%)
750
99.1%
 7
 
0.9%
Math Symbol
ValueCountFrequency (%)
<80
50.0%
>80
50.0%
Dash Punctuation
ValueCountFrequency (%)
-4
57.1%
3
42.9%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3807
77.7%
Common1091
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e446
 
11.7%
a309
 
8.1%
t287
 
7.5%
n285
 
7.5%
s265
 
7.0%
i264
 
6.9%
r252
 
6.6%
o247
 
6.5%
h175
 
4.6%
p143
 
3.8%
Other values (41)1134
29.8%
Common
ValueCountFrequency (%)
750
68.7%
<80
 
7.3%
>80
 
7.3%
.62
 
5.7%
/41
 
3.8%
,26
 
2.4%
'11
 
1.0%
 7
 
0.6%
05
 
0.5%
-4
 
0.4%
Other values (15)25
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII4887
99.8%
None7
 
0.1%
Punctuation4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
750
15.3%
e446
 
9.1%
a309
 
6.3%
t287
 
5.9%
n285
 
5.8%
s265
 
5.4%
i264
 
5.4%
r252
 
5.2%
o247
 
5.1%
h175
 
3.6%
Other values (63)1607
32.9%
None
ValueCountFrequency (%)
 7
100.0%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%

rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct13
Distinct (%)54.2%
Missing107
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean7.495833333
Minimum4.5
Maximum9.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:53.216563image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile6.13
Q17.275
median7.7
Q37.7
95-th percentile9.35
Maximum9.5
Range5
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation1.012735927
Coefficient of variation (CV)0.1351065161
Kurtosis3.041808895
Mean7.495833333
Median Absolute Deviation (MAD)0.35
Skewness-0.6682499537
Sum179.9
Variance1.025634058
MonotonicityNot monotonic
2022-09-05T21:51:53.312496image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
7.79
 
6.9%
9.52
 
1.5%
7.32
 
1.5%
7.42
 
1.5%
8.21
 
0.8%
6.31
 
0.8%
7.81
 
0.8%
7.21
 
0.8%
71
 
0.8%
6.11
 
0.8%
Other values (3)3
 
2.3%
(Missing)107
81.7%
ValueCountFrequency (%)
4.51
 
0.8%
6.11
 
0.8%
6.31
 
0.8%
6.61
 
0.8%
71
 
0.8%
7.21
 
0.8%
7.32
 
1.5%
7.42
 
1.5%
7.79
6.9%
7.81
 
0.8%
ValueCountFrequency (%)
9.52
 
1.5%
8.51
 
0.8%
8.21
 
0.8%
7.81
 
0.8%
7.79
6.9%
7.42
 
1.5%
7.32
 
1.5%
7.21
 
0.8%
71
 
0.8%
6.61
 
0.8%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct35
Distinct (%)100.0%
Missing96
Missing (%)73.3%
Memory size1.1 KiB
https://static.tvmaze.com/uploads/images/medium_landscape/291/728565.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728540.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728523.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728573.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/291/728941.jpg
 
1
Other values (30)
30 

Length

Max length73
Median length72
Mean length72.02857143
Min length72

Characters and Unicode

Total characters2521
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/291/728565.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/291/728529.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983026.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/393/983027.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/295/738522.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/291/728565.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728540.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728523.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728573.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728941.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/729241.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/291/729342.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/296/741912.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/292/731962.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/363/908143.jpg1
 
0.8%
Other values (25)25
 
19.1%
(Missing)96
73.3%

Length

2022-09-05T21:51:53.402796image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/291/728565.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/729240.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728529.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983026.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/393/983027.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/295/738522.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/292/732250.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/296/740863.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728536.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/medium_landscape/291/728537.jpg1
 
2.9%
Other values (25)25
71.4%

Most occurring characters

ValueCountFrequency (%)
/245
 
9.7%
a210
 
8.3%
t175
 
6.9%
s175
 
6.9%
m175
 
6.9%
p140
 
5.6%
e140
 
5.6%
.105
 
4.2%
c105
 
4.2%
d105
 
4.2%
Other values (22)946
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1785
70.8%
Other Punctuation385
 
15.3%
Decimal Number316
 
12.5%
Connector Punctuation35
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a210
11.8%
t175
9.8%
s175
9.8%
m175
9.8%
p140
 
7.8%
e140
 
7.8%
c105
 
5.9%
d105
 
5.9%
i105
 
5.9%
g70
 
3.9%
Other values (8)385
21.6%
Decimal Number
ValueCountFrequency (%)
278
24.7%
949
15.5%
340
12.7%
738
12.0%
134
10.8%
823
 
7.3%
519
 
6.0%
013
 
4.1%
412
 
3.8%
610
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/245
63.6%
.105
27.3%
:35
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1785
70.8%
Common736
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a210
11.8%
t175
9.8%
s175
9.8%
m175
9.8%
p140
 
7.8%
e140
 
7.8%
c105
 
5.9%
d105
 
5.9%
i105
 
5.9%
g70
 
3.9%
Other values (8)385
21.6%
Common
ValueCountFrequency (%)
/245
33.3%
.105
14.3%
278
 
10.6%
949
 
6.7%
340
 
5.4%
738
 
5.2%
_35
 
4.8%
:35
 
4.8%
134
 
4.6%
823
 
3.1%
Other values (4)54
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/245
 
9.7%
a210
 
8.3%
t175
 
6.9%
s175
 
6.9%
m175
 
6.9%
p140
 
5.6%
e140
 
5.6%
.105
 
4.2%
c105
 
4.2%
d105
 
4.2%
Other values (22)946
37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct35
Distinct (%)100.0%
Missing96
Missing (%)73.3%
Memory size1.1 KiB
https://static.tvmaze.com/uploads/images/original_untouched/291/728565.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/291/728540.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/291/728523.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/291/728573.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/291/728941.jpg
 
1
Other values (30)
30 

Length

Max length75
Median length74
Mean length74.02857143
Min length74

Characters and Unicode

Total characters2591
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/291/728565.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/291/728529.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/393/983026.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/393/983027.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/295/738522.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/728565.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/728540.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/728523.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/728573.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/728941.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729241.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729342.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/296/741912.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/292/731962.jpg1
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/363/908143.jpg1
 
0.8%
Other values (25)25
 
19.1%
(Missing)96
73.3%

Length

2022-09-05T21:51:53.526968image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/728565.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/729240.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728529.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/393/983026.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/393/983027.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/295/738522.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/292/732250.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/296/740863.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728536.jpg1
 
2.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/728537.jpg1
 
2.9%
Other values (25)25
71.4%

Most occurring characters

ValueCountFrequency (%)
/245
 
9.5%
t210
 
8.1%
a175
 
6.8%
s140
 
5.4%
o140
 
5.4%
i140
 
5.4%
m105
 
4.1%
u105
 
4.1%
e105
 
4.1%
g105
 
4.1%
Other values (23)1121
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1855
71.6%
Other Punctuation385
 
14.9%
Decimal Number316
 
12.2%
Connector Punctuation35
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t210
 
11.3%
a175
 
9.4%
s140
 
7.5%
o140
 
7.5%
i140
 
7.5%
m105
 
5.7%
u105
 
5.7%
e105
 
5.7%
g105
 
5.7%
c105
 
5.7%
Other values (9)525
28.3%
Decimal Number
ValueCountFrequency (%)
278
24.7%
949
15.5%
340
12.7%
738
12.0%
134
10.8%
823
 
7.3%
519
 
6.0%
013
 
4.1%
412
 
3.8%
610
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/245
63.6%
.105
27.3%
:35
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1855
71.6%
Common736
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t210
 
11.3%
a175
 
9.4%
s140
 
7.5%
o140
 
7.5%
i140
 
7.5%
m105
 
5.7%
u105
 
5.7%
e105
 
5.7%
g105
 
5.7%
c105
 
5.7%
Other values (9)525
28.3%
Common
ValueCountFrequency (%)
/245
33.3%
.105
14.3%
278
 
10.6%
949
 
6.7%
340
 
5.4%
738
 
5.2%
_35
 
4.8%
:35
 
4.8%
134
 
4.6%
823
 
3.1%
Other values (4)54
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/245
 
9.5%
t210
 
8.1%
a175
 
6.8%
s140
 
5.4%
o140
 
5.4%
i140
 
5.4%
m105
 
4.1%
u105
 
4.1%
e105
 
4.1%
g105
 
4.1%
Other values (23)1121
43.3%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2001669
 
1
https://api.tvmaze.com/episodes/2001667
 
1
https://api.tvmaze.com/episodes/2001666
 
1
https://api.tvmaze.com/episodes/2001665
 
1
Other values (126)
126 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5109
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/20016691
 
0.8%
https://api.tvmaze.com/episodes/20016671
 
0.8%
https://api.tvmaze.com/episodes/20016661
 
0.8%
https://api.tvmaze.com/episodes/20016651
 
0.8%
https://api.tvmaze.com/episodes/20000731
 
0.8%
https://api.tvmaze.com/episodes/20000721
 
0.8%
https://api.tvmaze.com/episodes/19975381
 
0.8%
https://api.tvmaze.com/episodes/19975371
 
0.8%
https://api.tvmaze.com/episodes/19884051
 
0.8%
Other values (121)121
92.4%

Length

2022-09-05T21:51:54.029182image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/23122251
 
0.8%
https://api.tvmaze.com/episodes/19640001
 
0.8%
https://api.tvmaze.com/episodes/19954051
 
0.8%
https://api.tvmaze.com/episodes/20077601
 
0.8%
https://api.tvmaze.com/episodes/19857891
 
0.8%
https://api.tvmaze.com/episodes/20396221
 
0.8%
https://api.tvmaze.com/episodes/20396231
 
0.8%
https://api.tvmaze.com/episodes/23244271
 
0.8%
https://api.tvmaze.com/episodes/23244281
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3275
64.1%
Other Punctuation917
 
17.9%
Decimal Number917
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%
Decimal Number
ValueCountFrequency (%)
2143
15.6%
9141
15.4%
0124
13.5%
1110
12.0%
379
8.6%
674
8.1%
869
7.5%
462
6.8%
761
6.7%
554
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3275
64.1%
Common1834
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
28.6%
.262
14.3%
2143
 
7.8%
9141
 
7.7%
:131
 
7.1%
0124
 
6.8%
1110
 
6.0%
379
 
4.3%
674
 
4.0%
869
 
3.8%
Other values (3)177
 
9.7%
Latin
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43964.9542
Minimum2504
Maximum63719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:54.131143image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile16001.5
Q138318
median51316
Q352847
95-th percentile61202
Maximum63719
Range61215
Interquartile range (IQR)14529

Descriptive statistics

Standard deviation14316.7581
Coefficient of variation (CV)0.3256402369
Kurtosis0.3707230436
Mean43964.9542
Median Absolute Deviation (MAD)4648
Skewness-1.12587659
Sum5759409
Variance204969562.5
MonotonicityNot monotonic
2022-09-05T21:51:54.252662image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1935510
 
7.6%
5284710
 
7.6%
326498
 
6.1%
414906
 
4.6%
615566
 
4.6%
527846
 
4.6%
394416
 
4.6%
593803
 
2.3%
538302
 
1.5%
529362
 
1.5%
Other values (61)72
55.0%
ValueCountFrequency (%)
25041
 
0.8%
65441
 
0.8%
74801
 
0.8%
75641
 
0.8%
78471
 
0.8%
152502
 
1.5%
167531
 
0.8%
170461
 
0.8%
1935510
7.6%
283811
 
0.8%
ValueCountFrequency (%)
637191
 
0.8%
615566
4.6%
608481
 
0.8%
593803
2.3%
575561
 
0.8%
562531
 
0.8%
554031
 
0.8%
552882
 
1.5%
551991
 
0.8%
546581
 
0.8%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/shows/19355/loudermilk
10 
https://www.tvmaze.com/shows/52847/three-men-four-wheels
10 
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina
 
8
https://www.tvmaze.com/shows/41490/unique-lady
 
6
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty
 
6
Other values (66)
91 

Length

Max length83
Median length61
Mean length53.16793893
Min length39

Characters and Unicode

Total characters6965
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)38.2%

Sample

1st rowhttps://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd rowhttps://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
3rd rowhttps://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
4th rowhttps://www.tvmaze.com/shows/46688/proekt-anna-nikolaevna
5th rowhttps://www.tvmaze.com/shows/51065/stand-up-autsajd

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/19355/loudermilk10
 
7.6%
https://www.tvmaze.com/shows/52847/three-men-four-wheels10
 
7.6%
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina8
 
6.1%
https://www.tvmaze.com/shows/41490/unique-lady6
 
4.6%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty6
 
4.6%
https://www.tvmaze.com/shows/52784/unique-lady-26
 
4.6%
https://www.tvmaze.com/shows/39441/carl-webers-the-family-business6
 
4.6%
https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende3
 
2.3%
https://www.tvmaze.com/shows/53830/witches2
 
1.5%
https://www.tvmaze.com/shows/52936/my-best-friends-story2
 
1.5%
Other values (61)72
55.0%

Length

2022-09-05T21:51:54.375130image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/19355/loudermilk10
 
7.6%
https://www.tvmaze.com/shows/52847/three-men-four-wheels10
 
7.6%
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina8
 
6.1%
https://www.tvmaze.com/shows/41490/unique-lady6
 
4.6%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty6
 
4.6%
https://www.tvmaze.com/shows/52784/unique-lady-26
 
4.6%
https://www.tvmaze.com/shows/39441/carl-webers-the-family-business6
 
4.6%
https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende3
 
2.3%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
1.5%
https://www.tvmaze.com/shows/53698/the-shore2
 
1.5%
Other values (61)72
55.0%

Most occurring characters

ValueCountFrequency (%)
/655
 
9.4%
w558
 
8.0%
s555
 
8.0%
t522
 
7.5%
e420
 
6.0%
o393
 
5.6%
h331
 
4.8%
m313
 
4.5%
a290
 
4.2%
-277
 
4.0%
Other values (30)2651
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4980
71.5%
Other Punctuation1048
 
15.0%
Decimal Number660
 
9.5%
Dash Punctuation277
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w558
11.2%
s555
11.1%
t522
10.5%
e420
 
8.4%
o393
 
7.9%
h331
 
6.6%
m313
 
6.3%
a290
 
5.8%
c172
 
3.5%
v159
 
3.2%
Other values (16)1267
25.4%
Decimal Number
ValueCountFrequency (%)
5121
18.3%
492
13.9%
273
11.1%
368
10.3%
859
8.9%
157
8.6%
657
8.6%
955
8.3%
740
 
6.1%
038
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4980
71.5%
Common1985
 
28.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
w558
11.2%
s555
11.1%
t522
10.5%
e420
 
8.4%
o393
 
7.9%
h331
 
6.6%
m313
 
6.3%
a290
 
5.8%
c172
 
3.5%
v159
 
3.2%
Other values (16)1267
25.4%
Common
ValueCountFrequency (%)
/655
33.0%
-277
14.0%
.262
 
13.2%
:131
 
6.6%
5121
 
6.1%
492
 
4.6%
273
 
3.7%
368
 
3.4%
859
 
3.0%
157
 
2.9%
Other values (4)190
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII6965
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/655
 
9.4%
w558
 
8.0%
s555
 
8.0%
t522
 
7.5%
e420
 
6.0%
o393
 
5.6%
h331
 
4.8%
m313
 
4.5%
a290
 
4.2%
-277
 
4.0%
Other values (30)2651
38.1%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Loudermilk
10 
Three Men Four Wheels
10 
Chilling Adventures of Sabrina
 
8
Unique Lady
 
6
Unsolved Cases of Kung Fu: Portrait of Beauty
 
6
Other values (66)
91 

Length

Max length50
Median length30
Mean length18.49618321
Min length4

Characters and Unicode

Total characters2423
Distinct characters102
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)38.2%

Sample

1st rowОбычная женщина
2nd rowПо сезону. Видеодайджест Seasonvar
3rd row257 причин, чтобы жить
4th rowПроект "Анна Николаевна"
5th rowStand Up Аутсайд

Common Values

ValueCountFrequency (%)
Loudermilk10
 
7.6%
Three Men Four Wheels10
 
7.6%
Chilling Adventures of Sabrina8
 
6.1%
Unique Lady6
 
4.6%
Unsolved Cases of Kung Fu: Portrait of Beauty6
 
4.6%
Unique Lady 26
 
4.6%
Carl Weber's The Family Business6
 
4.6%
Forteresses assiégées, batailles de légende3
 
2.3%
Witches2
 
1.5%
My Best Friend's Story2
 
1.5%
Other values (61)72
55.0%

Length

2022-09-05T21:51:54.491141image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
of23
 
5.6%
the18
 
4.4%
unique12
 
2.9%
lady12
 
2.9%
loudermilk10
 
2.4%
men10
 
2.4%
four10
 
2.4%
wheels10
 
2.4%
three10
 
2.4%
chilling8
 
2.0%
Other values (166)286
69.9%

Most occurring characters

ValueCountFrequency (%)
278
 
11.5%
e269
 
11.1%
r129
 
5.3%
n121
 
5.0%
s119
 
4.9%
a119
 
4.9%
o117
 
4.8%
i114
 
4.7%
l88
 
3.6%
u88
 
3.6%
Other values (92)981
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1732
71.5%
Uppercase Letter367
 
15.1%
Space Separator278
 
11.5%
Other Punctuation36
 
1.5%
Decimal Number10
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e269
15.5%
r129
 
7.4%
n121
 
7.0%
s119
 
6.9%
a119
 
6.9%
o117
 
6.8%
i114
 
6.6%
l88
 
5.1%
u88
 
5.1%
t76
 
4.4%
Other values (42)492
28.4%
Uppercase Letter
ValueCountFrequency (%)
T44
12.0%
L35
 
9.5%
S34
 
9.3%
F28
 
7.6%
C26
 
7.1%
W26
 
7.1%
U23
 
6.3%
B20
 
5.4%
M20
 
5.4%
A19
 
5.2%
Other values (28)92
25.1%
Other Punctuation
ValueCountFrequency (%)
'14
38.9%
:9
25.0%
,5
 
13.9%
!4
 
11.1%
"2
 
5.6%
&1
 
2.8%
.1
 
2.8%
Decimal Number
ValueCountFrequency (%)
27
70.0%
61
 
10.0%
71
 
10.0%
51
 
10.0%
Space Separator
ValueCountFrequency (%)
278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1964
81.1%
Common324
 
13.4%
Cyrillic135
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e269
 
13.7%
r129
 
6.6%
n121
 
6.2%
s119
 
6.1%
a119
 
6.1%
o117
 
6.0%
i114
 
5.8%
l88
 
4.5%
u88
 
4.5%
t76
 
3.9%
Other values (45)724
36.9%
Cyrillic
ValueCountFrequency (%)
а15
 
11.1%
н12
 
8.9%
о10
 
7.4%
т9
 
6.7%
е8
 
5.9%
д7
 
5.2%
и7
 
5.2%
р5
 
3.7%
у5
 
3.7%
к5
 
3.7%
Other values (25)52
38.5%
Common
ValueCountFrequency (%)
278
85.8%
'14
 
4.3%
:9
 
2.8%
27
 
2.2%
,5
 
1.5%
!4
 
1.2%
"2
 
0.6%
&1
 
0.3%
.1
 
0.3%
61
 
0.3%
Other values (2)2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2273
93.8%
Cyrillic135
 
5.6%
None15
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
278
 
12.2%
e269
 
11.8%
r129
 
5.7%
n121
 
5.3%
s119
 
5.2%
a119
 
5.2%
o117
 
5.1%
i114
 
5.0%
l88
 
3.9%
u88
 
3.9%
Other values (52)831
36.6%
Cyrillic
ValueCountFrequency (%)
а15
 
11.1%
н12
 
8.9%
о10
 
7.4%
т9
 
6.7%
е8
 
5.9%
д7
 
5.2%
и7
 
5.2%
р5
 
3.7%
у5
 
3.7%
к5
 
3.7%
Other values (25)52
38.5%
None
ValueCountFrequency (%)
é9
60.0%
Ş2
 
13.3%
ı2
 
13.3%
Ç1
 
6.7%
ğ1
 
6.7%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Scripted
88 
Reality
15 
Animation
 
8
Talk Show
 
7
Documentary
 
5
Other values (4)
 
8

Length

Max length11
Median length8
Mean length8.015267176
Min length4

Characters and Unicode

Total characters1050
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowScripted
2nd rowTalk Show
3rd rowScripted
4th rowScripted
5th rowVariety

Common Values

ValueCountFrequency (%)
Scripted88
67.2%
Reality15
 
11.5%
Animation8
 
6.1%
Talk Show7
 
5.3%
Documentary5
 
3.8%
Variety3
 
2.3%
News2
 
1.5%
Sports2
 
1.5%
Panel Show1
 
0.8%

Length

2022-09-05T21:51:54.599992image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:54.707504image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
scripted88
63.3%
reality15
 
10.8%
animation8
 
5.8%
show8
 
5.8%
talk7
 
5.0%
documentary5
 
3.6%
variety3
 
2.2%
news2
 
1.4%
sports2
 
1.4%
panel1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
i122
11.6%
t121
11.5%
e114
10.9%
S98
9.3%
r98
9.3%
c93
8.9%
p90
8.6%
d88
8.4%
a39
 
3.7%
o23
 
2.2%
Other values (17)164
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter903
86.0%
Uppercase Letter139
 
13.2%
Space Separator8
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i122
13.5%
t121
13.4%
e114
12.6%
r98
10.9%
c93
10.3%
p90
10.0%
d88
9.7%
a39
 
4.3%
o23
 
2.5%
l23
 
2.5%
Other values (8)92
10.2%
Uppercase Letter
ValueCountFrequency (%)
S98
70.5%
R15
 
10.8%
A8
 
5.8%
T7
 
5.0%
D5
 
3.6%
V3
 
2.2%
N2
 
1.4%
P1
 
0.7%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1042
99.2%
Common8
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i122
11.7%
t121
11.6%
e114
10.9%
S98
9.4%
r98
9.4%
c93
8.9%
p90
8.6%
d88
8.4%
a39
 
3.7%
o23
 
2.2%
Other values (16)156
15.0%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i122
11.6%
t121
11.5%
e114
10.9%
S98
9.3%
r98
9.3%
c93
8.9%
p90
8.6%
d88
8.4%
a39
 
3.7%
o23
 
2.2%
Other values (17)164
15.6%

_embedded.show.language
Categorical

HIGH CORRELATION

Distinct15
Distinct (%)11.5%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
English
49 
Chinese
38 
Russian
12 
Korean
Turkish
Other values (10)
19 

Length

Max length10
Median length7
Mean length6.9
Min length5

Characters and Unicode

Total characters897
Distinct characters33
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)3.8%

Sample

1st rowRussian
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowRussian

Common Values

ValueCountFrequency (%)
English49
37.4%
Chinese38
29.0%
Russian12
 
9.2%
Korean7
 
5.3%
Turkish5
 
3.8%
Arabic4
 
3.1%
Tagalog3
 
2.3%
French3
 
2.3%
Swedish2
 
1.5%
Dutch2
 
1.5%
Other values (5)5
 
3.8%

Length

2022-09-05T21:51:54.801070image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english49
37.7%
chinese38
29.2%
russian12
 
9.2%
korean7
 
5.4%
turkish5
 
3.8%
arabic4
 
3.1%
tagalog3
 
2.3%
french3
 
2.3%
swedish2
 
1.5%
dutch2
 
1.5%
Other values (5)5
 
3.8%

Most occurring characters

ValueCountFrequency (%)
s120
13.4%
n112
12.5%
i112
12.5%
h99
11.0%
e95
10.6%
g57
6.4%
l53
5.9%
E49
 
5.5%
C38
 
4.2%
a34
 
3.8%
Other values (23)128
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter767
85.5%
Uppercase Letter130
 
14.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s120
15.6%
n112
14.6%
i112
14.6%
h99
12.9%
e95
12.4%
g57
7.4%
l53
6.9%
a34
 
4.4%
r22
 
2.9%
u21
 
2.7%
Other values (9)42
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
E49
37.7%
C38
29.2%
R12
 
9.2%
T8
 
6.2%
K7
 
5.4%
A4
 
3.1%
F3
 
2.3%
S2
 
1.5%
D2
 
1.5%
M1
 
0.8%
Other values (4)4
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Latin897
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s120
13.4%
n112
12.5%
i112
12.5%
h99
11.0%
e95
10.6%
g57
6.4%
l53
5.9%
E49
 
5.5%
C38
 
4.2%
a34
 
3.8%
Other values (23)128
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s120
13.4%
n112
12.5%
i112
12.5%
h99
11.0%
e95
10.6%
g57
6.4%
l53
5.9%
E49
 
5.5%
C38
 
4.2%
a34
 
3.8%
Other values (23)128
14.3%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1.1 KiB

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Ended
61 
Running
55 
To Be Determined
15 

Length

Max length16
Median length7
Mean length7.099236641
Min length5

Characters and Unicode

Total characters930
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowRunning
3rd rowEnded
4th rowTo Be Determined
5th rowEnded

Common Values

ValueCountFrequency (%)
Ended61
46.6%
Running55
42.0%
To Be Determined15
 
11.5%

Length

2022-09-05T21:51:54.892899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:54.981219image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
ended61
37.9%
running55
34.2%
to15
 
9.3%
be15
 
9.3%
determined15
 
9.3%

Most occurring characters

ValueCountFrequency (%)
n241
25.9%
d137
14.7%
e121
13.0%
i70
 
7.5%
E61
 
6.6%
R55
 
5.9%
u55
 
5.9%
g55
 
5.9%
30
 
3.2%
T15
 
1.6%
Other values (6)90
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter739
79.5%
Uppercase Letter161
 
17.3%
Space Separator30
 
3.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n241
32.6%
d137
18.5%
e121
16.4%
i70
 
9.5%
u55
 
7.4%
g55
 
7.4%
o15
 
2.0%
t15
 
2.0%
r15
 
2.0%
m15
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
E61
37.9%
R55
34.2%
T15
 
9.3%
B15
 
9.3%
D15
 
9.3%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin900
96.8%
Common30
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n241
26.8%
d137
15.2%
e121
13.4%
i70
 
7.8%
E61
 
6.8%
R55
 
6.1%
u55
 
6.1%
g55
 
6.1%
T15
 
1.7%
o15
 
1.7%
Other values (5)75
 
8.3%
Common
ValueCountFrequency (%)
30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n241
25.9%
d137
14.7%
e121
13.0%
i70
 
7.5%
E61
 
6.6%
R55
 
5.9%
u55
 
5.9%
g55
 
5.9%
30
 
3.2%
T15
 
1.6%
Other values (6)90
 
9.7%

_embedded.show.runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct20
Distinct (%)24.1%
Missing48
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean40.22891566
Minimum4
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:55.055756image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9.1
Q130
median45
Q345
95-th percentile60
Maximum120
Range116
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.86227696
Coefficient of variation (CV)0.5434468366
Kurtosis4.640212053
Mean40.22891566
Median Absolute Deviation (MAD)15
Skewness1.462183215
Sum3339
Variance477.9591537
MonotonicityNot monotonic
2022-09-05T21:51:55.156934image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4523
17.6%
3012
 
9.2%
6011
 
8.4%
206
 
4.6%
386
 
4.6%
103
 
2.3%
513
 
2.3%
1203
 
2.3%
502
 
1.5%
402
 
1.5%
Other values (10)12
 
9.2%
(Missing)48
36.6%
ValueCountFrequency (%)
42
 
1.5%
51
 
0.8%
81
 
0.8%
91
 
0.8%
103
2.3%
121
 
0.8%
206
4.6%
212
 
1.5%
231
 
0.8%
251
 
0.8%
ValueCountFrequency (%)
1203
 
2.3%
6011
8.4%
531
 
0.8%
513
 
2.3%
502
 
1.5%
4523
17.6%
402
 
1.5%
386
 
4.6%
3012
9.2%
281
 
0.8%

_embedded.show.averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct33
Distinct (%)27.7%
Missing12
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean38.85714286
Minimum2
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:55.251107image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.9
Q128
median42
Q350
95-th percentile60
Maximum129
Range127
Interquartile range (IQR)22

Descriptive statistics

Standard deviation21.08870921
Coefficient of variation (CV)0.5427241341
Kurtosis4.691555577
Mean38.85714286
Median Absolute Deviation (MAD)12
Skewness1.318591352
Sum4624
Variance444.7336562
MonotonicityNot monotonic
2022-09-05T21:51:55.371581image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4523
17.6%
3021
16.0%
5710
 
7.6%
6010
 
7.6%
426
 
4.6%
104
 
3.1%
214
 
3.1%
283
 
2.3%
223
 
2.3%
523
 
2.3%
Other values (23)32
24.4%
(Missing)12
 
9.2%
ValueCountFrequency (%)
21
 
0.8%
42
1.5%
51
 
0.8%
72
1.5%
82
1.5%
91
 
0.8%
104
3.1%
122
1.5%
161
 
0.8%
202
1.5%
ValueCountFrequency (%)
1291
 
0.8%
1202
 
1.5%
6010
7.6%
581
 
0.8%
5710
7.6%
561
 
0.8%
531
 
0.8%
523
 
2.3%
502
 
1.5%
481
 
0.8%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct56
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-31
14 
2017-10-17
11 
2018-10-26
 
8
2020-12-24
 
8
2020-12-30
 
7
Other values (51)
83 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)26.7%

Sample

1st row2018-10-29
2nd row2015-02-13
3rd row2020-03-26
4th row2020-03-26
5th row2020-10-13

Common Values

ValueCountFrequency (%)
2020-12-3114
 
10.7%
2017-10-1711
 
8.4%
2018-10-268
 
6.1%
2020-12-248
 
6.1%
2020-12-307
 
5.3%
2018-11-136
 
4.6%
2019-01-176
 
4.6%
2020-12-175
 
3.8%
2020-12-105
 
3.8%
2020-12-283
 
2.3%
Other values (46)58
44.3%

Length

2022-09-05T21:51:55.472547image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-3114
 
10.7%
2017-10-1711
 
8.4%
2018-10-268
 
6.1%
2020-12-248
 
6.1%
2020-12-307
 
5.3%
2018-11-136
 
4.6%
2019-01-176
 
4.6%
2020-12-175
 
3.8%
2020-12-105
 
3.8%
2020-12-283
 
2.3%
Other values (46)58
44.3%

Most occurring characters

ValueCountFrequency (%)
2310
23.7%
0302
23.1%
-262
20.0%
1253
19.3%
343
 
3.3%
739
 
3.0%
831
 
2.4%
624
 
1.8%
921
 
1.6%
416
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2310
29.6%
0302
28.8%
1253
24.1%
343
 
4.1%
739
 
3.7%
831
 
3.0%
624
 
2.3%
921
 
2.0%
416
 
1.5%
59
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2310
23.7%
0302
23.1%
-262
20.0%
1253
19.3%
343
 
3.3%
739
 
3.0%
831
 
2.4%
624
 
1.8%
921
 
1.6%
416
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2310
23.7%
0302
23.1%
-262
20.0%
1253
19.3%
343
 
3.3%
739
 
3.0%
831
 
2.4%
624
 
1.8%
921
 
1.6%
416
 
1.2%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct20
Distinct (%)32.8%
Missing70
Missing (%)53.4%
Memory size1.1 KiB
2021-01-07
19 
2020-12-31
12 
2021-01-14
2021-01-15
2021-01-11
 
2
Other values (15)
21 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters610
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)14.8%

Sample

1st row2021-01-07
2nd row2021-01-21
3rd row2020-12-31
4th row2021-01-14
5th row2021-01-14

Common Values

ValueCountFrequency (%)
2021-01-0719
 
14.5%
2020-12-3112
 
9.2%
2021-01-144
 
3.1%
2021-01-153
 
2.3%
2021-01-112
 
1.5%
2021-01-022
 
1.5%
2021-01-092
 
1.5%
2021-10-072
 
1.5%
2020-12-182
 
1.5%
2021-01-282
 
1.5%
Other values (10)11
 
8.4%
(Missing)70
53.4%

Length

2022-09-05T21:51:55.566265image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-01-0719
31.1%
2020-12-3112
19.7%
2021-01-144
 
6.6%
2021-01-153
 
4.9%
2021-10-072
 
3.3%
2021-01-282
 
3.3%
2020-12-182
 
3.3%
2021-01-042
 
3.3%
2021-01-092
 
3.3%
2021-01-022
 
3.3%
Other values (10)11
18.0%

Most occurring characters

ValueCountFrequency (%)
0152
24.9%
2151
24.8%
1131
21.5%
-122
20.0%
722
 
3.6%
312
 
2.0%
48
 
1.3%
85
 
0.8%
53
 
0.5%
93
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number488
80.0%
Dash Punctuation122
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0152
31.1%
2151
30.9%
1131
26.8%
722
 
4.5%
312
 
2.5%
48
 
1.6%
85
 
1.0%
53
 
0.6%
93
 
0.6%
61
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
-122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0152
24.9%
2151
24.8%
1131
21.5%
-122
20.0%
722
 
3.6%
312
 
2.0%
48
 
1.3%
85
 
0.8%
53
 
0.5%
93
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0152
24.9%
2151
24.8%
1131
21.5%
-122
20.0%
722
 
3.6%
312
 
2.0%
48
 
1.3%
85
 
0.8%
53
 
0.5%
93
 
0.5%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct61
Distinct (%)59.2%
Missing28
Missing (%)21.4%
Memory size1.1 KiB
https://www.discoveryplus.co.uk/show/three-men-four-wheels
10 
https://www.netflix.com/title/80223989
http://www.iqiyi.com/a_19rrhvpyyp.html
 
6
https://v.qq.com/x/cover/mzc00200tyfmlws.html
 
6
https://www.bet.plus/shows/the-family-business
 
6
Other values (56)
67 

Length

Max length250
Median length71
Mean length50.93203883
Min length16

Characters and Unicode

Total characters5246
Distinct characters74
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)44.7%

Sample

1st rowhttps://premier.one/show/8405
2nd rowhttp://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
3rd rowhttps://start.ru/watch/257-prichin-chtoby-zhit
4th rowhttps://hd.kinopoisk.ru/film/48ec62883cb1bfc8a65154fcd3749b72
5th rowhttps://premier.one/show/13734

Common Values

ValueCountFrequency (%)
https://www.discoveryplus.co.uk/show/three-men-four-wheels10
 
7.6%
https://www.netflix.com/title/802239898
 
6.1%
http://www.iqiyi.com/a_19rrhvpyyp.html6
 
4.6%
https://v.qq.com/x/cover/mzc00200tyfmlws.html6
 
4.6%
https://www.bet.plus/shows/the-family-business6
 
4.6%
https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende3
 
2.3%
https://www.wavve.com/player/vod?programid=C9901_C99000000047&page=12
 
1.5%
https://www.ivi.ru/watch/chuma-20202
 
1.5%
https://www.tytnetwork.com2
 
1.5%
https://www.iqiyi.com/a_19rrhllpip.html2
 
1.5%
Other values (51)56
42.7%
(Missing)28
21.4%

Length

2022-09-05T21:51:55.683846image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.discoveryplus.co.uk/show/three-men-four-wheels10
 
9.7%
https://www.netflix.com/title/802239898
 
7.8%
http://www.iqiyi.com/a_19rrhvpyyp.html6
 
5.8%
https://v.qq.com/x/cover/mzc00200tyfmlws.html6
 
5.8%
https://www.bet.plus/shows/the-family-business6
 
5.8%
https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende3
 
2.9%
https://www.iqiyi.com/a_nvzsmw0tgx.html2
 
1.9%
https://v.qq.com/detail/s/sifd2an7kx2h9h8.html2
 
1.9%
https://www.iqiyi.com/lib/m_213579814.html2
 
1.9%
https://www.beinconnect.com.tr/diziler/aile-sirketi2
 
1.9%
Other values (51)56
54.4%

Most occurring characters

ValueCountFrequency (%)
/431
 
8.2%
t401
 
7.6%
s312
 
5.9%
w285
 
5.4%
e275
 
5.2%
.234
 
4.5%
h222
 
4.2%
o215
 
4.1%
i206
 
3.9%
l186
 
3.5%
Other values (64)2479
47.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3618
69.0%
Other Punctuation825
 
15.7%
Decimal Number490
 
9.3%
Uppercase Letter175
 
3.3%
Dash Punctuation94
 
1.8%
Connector Punctuation25
 
0.5%
Math Symbol19
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t401
 
11.1%
s312
 
8.6%
w285
 
7.9%
e275
 
7.6%
h222
 
6.1%
o215
 
5.9%
i206
 
5.7%
l186
 
5.1%
p179
 
4.9%
m161
 
4.4%
Other values (16)1176
32.5%
Uppercase Letter
ValueCountFrequency (%)
P22
 
12.6%
L14
 
8.0%
C14
 
8.0%
B14
 
8.0%
A10
 
5.7%
D10
 
5.7%
E10
 
5.7%
M8
 
4.6%
F8
 
4.6%
T8
 
4.6%
Other values (15)57
32.6%
Decimal Number
ValueCountFrequency (%)
074
15.1%
162
12.7%
259
12.0%
958
11.8%
853
10.8%
343
8.8%
439
8.0%
537
7.6%
734
6.9%
631
6.3%
Other Punctuation
ValueCountFrequency (%)
/431
52.2%
.234
28.4%
:124
 
15.0%
%15
 
1.8%
?12
 
1.5%
&5
 
0.6%
'2
 
0.2%
#1
 
0.1%
!1
 
0.1%
Math Symbol
ValueCountFrequency (%)
=17
89.5%
+2
 
10.5%
Dash Punctuation
ValueCountFrequency (%)
-94
100.0%
Connector Punctuation
ValueCountFrequency (%)
_25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3793
72.3%
Common1453
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t401
 
10.6%
s312
 
8.2%
w285
 
7.5%
e275
 
7.3%
h222
 
5.9%
o215
 
5.7%
i206
 
5.4%
l186
 
4.9%
p179
 
4.7%
m161
 
4.2%
Other values (41)1351
35.6%
Common
ValueCountFrequency (%)
/431
29.7%
.234
16.1%
:124
 
8.5%
-94
 
6.5%
074
 
5.1%
162
 
4.3%
259
 
4.1%
958
 
4.0%
853
 
3.6%
343
 
3.0%
Other values (13)221
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII5246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/431
 
8.2%
t401
 
7.6%
s312
 
5.9%
w285
 
5.4%
e275
 
5.2%
.234
 
4.5%
h222
 
4.2%
o215
 
4.1%
i206
 
3.9%
l186
 
3.5%
Other values (64)2479
47.3%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct17
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
97 
12:30
 
6
21:00
 
6
20:00
 
5
19:00
 
4
Other values (12)
13 

Length

Max length5
Median length0
Mean length1.297709924
Min length0

Characters and Unicode

Total characters170
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)8.4%

Sample

1st row22:00
2nd row
3rd row
4th row00:00
5th row

Common Values

ValueCountFrequency (%)
97
74.0%
12:306
 
4.6%
21:006
 
4.6%
20:005
 
3.8%
19:004
 
3.1%
22:002
 
1.5%
11:001
 
0.8%
12:001
 
0.8%
10:001
 
0.8%
00:001
 
0.8%
Other values (7)7
 
5.3%

Length

2022-09-05T21:51:55.832522image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12:306
17.6%
21:006
17.6%
20:005
14.7%
19:004
11.8%
22:002
 
5.9%
11:001
 
2.9%
12:001
 
2.9%
10:001
 
2.9%
00:001
 
2.9%
06:001
 
2.9%
Other values (6)6
17.6%

Most occurring characters

ValueCountFrequency (%)
069
40.6%
:34
20.0%
226
 
15.3%
124
 
14.1%
37
 
4.1%
95
 
2.9%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number136
80.0%
Other Punctuation34
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
069
50.7%
226
 
19.1%
124
 
17.6%
37
 
5.1%
95
 
3.7%
52
 
1.5%
61
 
0.7%
71
 
0.7%
81
 
0.7%
Other Punctuation
ValueCountFrequency (%)
:34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common170
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
069
40.6%
:34
20.0%
226
 
15.3%
124
 
14.1%
37
 
4.1%
95
 
2.9%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
069
40.6%
:34
20.0%
226
 
15.3%
124
 
14.1%
37
 
4.1%
95
 
2.9%
52
 
1.2%
61
 
0.6%
71
 
0.6%
81
 
0.6%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size1.1 KiB

_embedded.show.rating.average
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct11
Distinct (%)31.4%
Missing96
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean6.64
Minimum5
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:55.940536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median6.8
Q37.5
95-th percentile7.73
Maximum8.1
Range3.1
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9674709298
Coefficient of variation (CV)0.1457034533
Kurtosis-0.8690413643
Mean6.64
Median Absolute Deviation (MAD)0.7
Skewness-0.633809094
Sum232.4
Variance0.936
MonotonicityNot monotonic
2022-09-05T21:51:56.044657image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
6.810
 
7.6%
7.59
 
6.9%
56
 
4.6%
63
 
2.3%
7.71
 
0.8%
71
 
0.8%
7.81
 
0.8%
5.81
 
0.8%
7.21
 
0.8%
8.11
 
0.8%
(Missing)96
73.3%
ValueCountFrequency (%)
56
4.6%
5.31
 
0.8%
5.81
 
0.8%
63
 
2.3%
6.810
7.6%
71
 
0.8%
7.21
 
0.8%
7.59
6.9%
7.71
 
0.8%
7.81
 
0.8%
ValueCountFrequency (%)
8.11
 
0.8%
7.81
 
0.8%
7.71
 
0.8%
7.59
6.9%
7.21
 
0.8%
71
 
0.8%
6.810
7.6%
63
 
2.3%
5.81
 
0.8%
5.31
 
0.8%

_embedded.show.weight
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct51
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.29007634
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:56.161042image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q121
median34
Q373
95-th percentile97
Maximum99
Range98
Interquartile range (IQR)52

Descriptive statistics

Standard deviation31.08561096
Coefficient of variation (CV)0.7180770649
Kurtosis-1.036455038
Mean43.29007634
Median Absolute Deviation (MAD)19
Skewness0.6009616531
Sum5671
Variance966.3152085
MonotonicityNot monotonic
2022-09-05T21:51:56.290397image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3411
 
8.4%
8610
 
7.6%
979
 
6.9%
218
 
6.1%
307
 
5.3%
966
 
4.6%
356
 
4.6%
16
 
4.6%
145
 
3.8%
154
 
3.1%
Other values (41)59
45.0%
ValueCountFrequency (%)
16
4.6%
32
 
1.5%
41
 
0.8%
73
2.3%
82
 
1.5%
91
 
0.8%
132
 
1.5%
145
3.8%
154
3.1%
161
 
0.8%
ValueCountFrequency (%)
991
 
0.8%
979
6.9%
966
4.6%
931
 
0.8%
871
 
0.8%
8610
7.6%
831
 
0.8%
822
 
1.5%
781
 
0.8%
732
 
1.5%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct35
Distinct (%)26.9%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean137.3538462
Minimum1
Maximum445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:56.400688image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q121
median104
Q3189.5
95-th percentile379
Maximum445
Range444
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation127.3931144
Coefficient of variation (CV)0.9274812319
Kurtosis-0.4584400603
Mean137.3538462
Median Absolute Deviation (MAD)83
Skewness0.8525650942
Sum17856
Variance16229.00561
MonotonicityNot monotonic
2022-09-05T21:51:56.514014image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2118
13.7%
10414
 
10.7%
6712
 
9.2%
17311
 
8.4%
310
 
7.6%
18
 
6.1%
1188
 
6.1%
3517
 
5.3%
1074
 
3.1%
2223
 
2.3%
Other values (25)35
26.7%
ValueCountFrequency (%)
18
6.1%
310
7.6%
121
 
0.8%
152
 
1.5%
2118
13.7%
301
 
0.8%
511
 
0.8%
561
 
0.8%
6712
9.2%
10414
10.7%
ValueCountFrequency (%)
4452
 
1.5%
4092
 
1.5%
3811
 
0.8%
3801
 
0.8%
3793
2.3%
3651
 
0.8%
3521
 
0.8%
3517
5.3%
3372
 
1.5%
3291
 
0.8%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION

Distinct35
Distinct (%)26.9%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
YouTube
18 
Tencent QQ
14 
iQIYI
12 
discovery+
11 
Prime Video
10 
Other values (30)
65 

Length

Max length15
Median length11
Mean length7.784615385
Min length3

Characters and Unicode

Total characters1012
Distinct characters56
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)13.1%

Sample

1st rowPremier
2nd rowSeasonvar
3rd rowStart
4th rowКиноПоиск HD
5th rowYouTube

Common Values

ValueCountFrequency (%)
YouTube18
13.7%
Tencent QQ14
 
10.7%
iQIYI12
 
9.2%
discovery+11
 
8.4%
Prime Video10
 
7.6%
Netflix8
 
6.1%
Youku8
 
6.1%
BET+7
 
5.3%
Paramount+4
 
3.1%
BluTV3
 
2.3%
Other values (25)35
26.7%

Length

2022-09-05T21:51:56.625589image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
youtube18
 
10.8%
tencent14
 
8.4%
qq14
 
8.4%
iqiyi12
 
7.2%
discovery11
 
6.6%
prime10
 
6.0%
video10
 
6.0%
netflix8
 
4.8%
youku8
 
4.8%
bet7
 
4.2%
Other values (34)55
32.9%

Most occurring characters

ValueCountFrequency (%)
e106
 
10.5%
i75
 
7.4%
u62
 
6.1%
o62
 
6.1%
T53
 
5.2%
r40
 
4.0%
Q40
 
4.0%
t39
 
3.9%
Y38
 
3.8%
37
 
3.7%
Other values (46)460
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter666
65.8%
Uppercase Letter285
28.2%
Space Separator37
 
3.7%
Math Symbol22
 
2.2%
Other Punctuation1
 
0.1%
Decimal Number1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e106
15.9%
i75
11.3%
u62
 
9.3%
o62
 
9.3%
r40
 
6.0%
t39
 
5.9%
n35
 
5.3%
a29
 
4.4%
d27
 
4.1%
c26
 
3.9%
Other values (18)165
24.8%
Uppercase Letter
ValueCountFrequency (%)
T53
18.6%
Q40
14.0%
Y38
13.3%
I28
9.8%
V22
7.7%
P18
 
6.3%
N17
 
6.0%
B13
 
4.6%
E11
 
3.9%
C10
 
3.5%
Other values (14)35
12.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Math Symbol
ValueCountFrequency (%)
+22
100.0%
Other Punctuation
ValueCountFrequency (%)
.1
100.0%
Decimal Number
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin942
93.1%
Common61
 
6.0%
Cyrillic9
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e106
 
11.3%
i75
 
8.0%
u62
 
6.6%
o62
 
6.6%
T53
 
5.6%
r40
 
4.2%
Q40
 
4.2%
t39
 
4.1%
Y38
 
4.0%
n35
 
3.7%
Other values (35)392
41.6%
Cyrillic
ValueCountFrequency (%)
о2
22.2%
и2
22.2%
с1
11.1%
П1
11.1%
н1
11.1%
К1
11.1%
к1
11.1%
Common
ValueCountFrequency (%)
37
60.7%
+22
36.1%
.1
 
1.6%
21
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1003
99.1%
Cyrillic9
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e106
 
10.6%
i75
 
7.5%
u62
 
6.2%
o62
 
6.2%
T53
 
5.3%
r40
 
4.0%
Q40
 
4.0%
t39
 
3.9%
Y38
 
3.8%
37
 
3.7%
Other values (39)451
45.0%
Cyrillic
ValueCountFrequency (%)
о2
22.2%
и2
22.2%
с1
11.1%
П1
11.1%
н1
11.1%
К1
11.1%
к1
11.1%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)19.4%
Missing69
Missing (%)52.7%
Memory size1.1 KiB
China
23 
United States
13 
Russian Federation
Korea, Republic of
Turkey
Other values (7)

Length

Max length25
Median length18
Mean length10.35483871
Min length5

Characters and Unicode

Total characters642
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.7%

Sample

1st rowRussian Federation
2nd rowRussian Federation
3rd rowRussian Federation
4th rowRussian Federation
5th rowChina

Common Values

ValueCountFrequency (%)
China23
 
17.6%
United States13
 
9.9%
Russian Federation8
 
6.1%
Korea, Republic of5
 
3.8%
Turkey5
 
3.8%
Taiwan, Province of China2
 
1.5%
Malaysia1
 
0.8%
Sweden1
 
0.8%
Norway1
 
0.8%
Netherlands1
 
0.8%
Other values (2)2
 
1.5%
(Missing)69
52.7%

Length

2022-09-05T21:51:56.740558image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
china25
25.3%
states13
13.1%
united13
13.1%
russian8
 
8.1%
federation8
 
8.1%
of7
 
7.1%
turkey5
 
5.1%
republic5
 
5.1%
korea5
 
5.1%
taiwan2
 
2.0%
Other values (7)8
 
8.1%

Most occurring characters

ValueCountFrequency (%)
a70
 
10.9%
i65
 
10.1%
e64
 
10.0%
n61
 
9.5%
t48
 
7.5%
37
 
5.8%
s31
 
4.8%
h26
 
4.0%
C25
 
3.9%
r24
 
3.7%
Other values (26)191
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter506
78.8%
Uppercase Letter92
 
14.3%
Space Separator37
 
5.8%
Other Punctuation7
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a70
13.8%
i65
12.8%
e64
12.6%
n61
12.1%
t48
9.5%
s31
6.1%
h26
 
5.1%
r24
 
4.7%
d23
 
4.5%
o23
 
4.5%
Other values (12)71
14.0%
Uppercase Letter
ValueCountFrequency (%)
C25
27.2%
S14
15.2%
R13
14.1%
U13
14.1%
F8
 
8.7%
T7
 
7.6%
K5
 
5.4%
P2
 
2.2%
N2
 
2.2%
M1
 
1.1%
Other values (2)2
 
2.2%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
,7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin598
93.1%
Common44
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a70
11.7%
i65
10.9%
e64
 
10.7%
n61
 
10.2%
t48
 
8.0%
s31
 
5.2%
h26
 
4.3%
C25
 
4.2%
r24
 
4.0%
d23
 
3.8%
Other values (24)161
26.9%
Common
ValueCountFrequency (%)
37
84.1%
,7
 
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a70
 
10.9%
i65
 
10.1%
e64
 
10.0%
n61
 
9.5%
t48
 
7.5%
37
 
5.8%
s31
 
4.8%
h26
 
4.0%
C25
 
3.9%
r24
 
3.7%
Other values (26)191
29.8%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)19.4%
Missing69
Missing (%)52.7%
Memory size1.1 KiB
CN
23 
US
13 
RU
KR
TR
Other values (7)

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters124
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.7%

Sample

1st rowRU
2nd rowRU
3rd rowRU
4th rowRU
5th rowCN

Common Values

ValueCountFrequency (%)
CN23
 
17.6%
US13
 
9.9%
RU8
 
6.1%
KR5
 
3.8%
TR5
 
3.8%
TW2
 
1.5%
MY1
 
0.8%
SE1
 
0.8%
NO1
 
0.8%
NL1
 
0.8%
Other values (2)2
 
1.5%
(Missing)69
52.7%

Length

2022-09-05T21:51:56.837912image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cn23
37.1%
us13
21.0%
ru8
 
12.9%
kr5
 
8.1%
tr5
 
8.1%
tw2
 
3.2%
my1
 
1.6%
se1
 
1.6%
no1
 
1.6%
nl1
 
1.6%
Other values (2)2
 
3.2%

Most occurring characters

ValueCountFrequency (%)
N25
20.2%
C23
18.5%
U21
16.9%
R19
15.3%
S14
11.3%
T7
 
5.6%
K5
 
4.0%
W2
 
1.6%
E2
 
1.6%
M1
 
0.8%
Other values (5)5
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter124
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N25
20.2%
C23
18.5%
U21
16.9%
R19
15.3%
S14
11.3%
T7
 
5.6%
K5
 
4.0%
W2
 
1.6%
E2
 
1.6%
M1
 
0.8%
Other values (5)5
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Latin124
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N25
20.2%
C23
18.5%
U21
16.9%
R19
15.3%
S14
11.3%
T7
 
5.6%
K5
 
4.0%
W2
 
1.6%
E2
 
1.6%
M1
 
0.8%
Other values (5)5
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N25
20.2%
C23
18.5%
U21
16.9%
R19
15.3%
S14
11.3%
T7
 
5.6%
K5
 
4.0%
W2
 
1.6%
E2
 
1.6%
M1
 
0.8%
Other values (5)5
 
4.0%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)19.4%
Missing69
Missing (%)52.7%
Memory size1.1 KiB
Asia/Shanghai
23 
America/New_York
13 
Asia/Kamchatka
Asia/Seoul
Europe/Istanbul
Other values (7)

Length

Max length16
Median length15
Mean length13.72580645
Min length10

Characters and Unicode

Total characters851
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)9.7%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAsia/Kamchatka
5th rowAsia/Shanghai

Common Values

ValueCountFrequency (%)
Asia/Shanghai23
 
17.6%
America/New_York13
 
9.9%
Asia/Kamchatka8
 
6.1%
Asia/Seoul5
 
3.8%
Europe/Istanbul5
 
3.8%
Asia/Taipei2
 
1.5%
Asia/Kuching1
 
0.8%
Europe/Stockholm1
 
0.8%
Europe/Oslo1
 
0.8%
Europe/Amsterdam1
 
0.8%
Other values (2)2
 
1.5%
(Missing)69
52.7%

Length

2022-09-05T21:51:56.931884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
asia/shanghai23
37.1%
america/new_york13
21.0%
asia/kamchatka8
 
12.9%
asia/seoul5
 
8.1%
europe/istanbul5
 
8.1%
asia/taipei2
 
3.2%
asia/kuching1
 
1.6%
europe/stockholm1
 
1.6%
europe/oslo1
 
1.6%
europe/amsterdam1
 
1.6%
Other values (2)2
 
3.2%

Most occurring characters

ValueCountFrequency (%)
a132
15.5%
i82
 
9.6%
/62
 
7.3%
h57
 
6.7%
A54
 
6.3%
s47
 
5.5%
e45
 
5.3%
r38
 
4.5%
o32
 
3.8%
n32
 
3.8%
Other values (21)270
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter639
75.1%
Uppercase Letter137
 
16.1%
Other Punctuation62
 
7.3%
Connector Punctuation13
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a132
20.7%
i82
12.8%
h57
8.9%
s47
 
7.4%
e45
 
7.0%
r38
 
5.9%
o32
 
5.0%
n32
 
5.0%
g25
 
3.9%
m25
 
3.9%
Other values (9)124
19.4%
Uppercase Letter
ValueCountFrequency (%)
A54
39.4%
S29
21.2%
N14
 
10.2%
Y13
 
9.5%
K9
 
6.6%
E9
 
6.6%
I5
 
3.6%
T2
 
1.5%
O1
 
0.7%
B1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin776
91.2%
Common75
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a132
17.0%
i82
 
10.6%
h57
 
7.3%
A54
 
7.0%
s47
 
6.1%
e45
 
5.8%
r38
 
4.9%
o32
 
4.1%
n32
 
4.1%
S29
 
3.7%
Other values (19)228
29.4%
Common
ValueCountFrequency (%)
/62
82.7%
_13
 
17.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a132
15.5%
i82
 
9.6%
/62
 
7.3%
h57
 
6.7%
A54
 
6.3%
s47
 
5.5%
e45
 
5.3%
r38
 
4.5%
o32
 
3.8%
n32
 
3.8%
Other values (21)270
31.7%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct15
Distinct (%)17.2%
Missing44
Missing (%)33.6%
Memory size1.1 KiB
https://www.youtube.com
18 
https://v.qq.com/
14 
https://www.iq.com/
12 
https://www.discoveryplus.com/
11 
https://www.primevideo.com
10 
Other values (10)
22 

Length

Max length30
Median length24
Mean length23.05747126
Min length17

Characters and Unicode

Total characters2006
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)6.9%

Sample

1st rowhttps://hd.kinopoisk.ru/
2nd rowhttps://www.youtube.com
3rd rowhttps://www.wavve.com/
4th rowhttps://www.wavve.com/
5th rowhttps://www.iq.com/

Common Values

ValueCountFrequency (%)
https://www.youtube.com18
13.7%
https://v.qq.com/14
 
10.7%
https://www.iq.com/12
 
9.2%
https://www.discoveryplus.com/11
 
8.4%
https://www.primevideo.com10
 
7.6%
https://www.netflix.com/8
 
6.1%
https://www.paramountplus.com/4
 
3.1%
https://www.wavve.com/2
 
1.5%
https://www.ivi.ru/2
 
1.5%
https://hd.kinopoisk.ru/1
 
0.8%
Other values (5)5
 
3.8%
(Missing)44
33.6%

Length

2022-09-05T21:51:57.035391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.youtube.com18
20.7%
https://v.qq.com14
16.1%
https://www.iq.com12
13.8%
https://www.discoveryplus.com11
12.6%
https://www.primevideo.com10
11.5%
https://www.netflix.com8
9.2%
https://www.paramountplus.com4
 
4.6%
https://www.wavve.com2
 
2.3%
https://www.ivi.ru2
 
2.3%
https://hd.kinopoisk.ru1
 
1.1%
Other values (5)5
 
5.7%

Most occurring characters

ValueCountFrequency (%)
/233
11.6%
w212
 
10.6%
t208
 
10.4%
.174
 
8.7%
o133
 
6.6%
p118
 
5.9%
s115
 
5.7%
m99
 
4.9%
c95
 
4.7%
h89
 
4.4%
Other values (17)530
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1512
75.4%
Other Punctuation494
 
24.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w212
14.0%
t208
13.8%
o133
8.8%
p118
 
7.8%
s115
 
7.6%
m99
 
6.5%
c95
 
6.3%
h89
 
5.9%
e63
 
4.2%
u58
 
3.8%
Other values (14)322
21.3%
Other Punctuation
ValueCountFrequency (%)
/233
47.2%
.174
35.2%
:87
 
17.6%

Most occurring scripts

ValueCountFrequency (%)
Latin1512
75.4%
Common494
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w212
14.0%
t208
13.8%
o133
8.8%
p118
 
7.8%
s115
 
7.6%
m99
 
6.5%
c95
 
6.3%
h89
 
5.9%
e63
 
4.2%
u58
 
3.8%
Other values (14)322
21.3%
Common
ValueCountFrequency (%)
/233
47.2%
.174
35.2%
:87
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/233
11.6%
w212
 
10.6%
t208
 
10.4%
.174
 
8.7%
o133
 
6.6%
p118
 
5.9%
s115
 
5.7%
m99
 
4.9%
c95
 
4.7%
h89
 
4.4%
Other values (17)530
26.4%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct2
Distinct (%)100.0%
Missing129
Missing (%)98.5%
Memory size1.1 KiB
5152.0
19056.0

Length

Max length7
Median length6.5
Mean length6.5
Min length6

Characters and Unicode

Total characters13
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row5152.0
2nd row19056.0

Common Values

ValueCountFrequency (%)
5152.01
 
0.8%
19056.01
 
0.8%
(Missing)129
98.5%

Length

2022-09-05T21:51:57.134728image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:57.227259image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
5152.01
50.0%
19056.01
50.0%

Most occurring characters

ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number11
84.6%
Other Punctuation2
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
53
27.3%
03
27.3%
12
18.2%
21
 
9.1%
91
 
9.1%
61
 
9.1%
Other Punctuation
ValueCountFrequency (%)
.2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common13
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53
23.1%
03
23.1%
12
15.4%
.2
15.4%
21
 
7.7%
91
 
7.7%
61
 
7.7%

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct53
Distinct (%)56.4%
Missing37
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean354667.7234
Minimum78419
Maximum396705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:57.323627image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum78419
5-th percentile268131.65
Q1338947
median362600
Q3393229
95-th percentile394277
Maximum396705
Range318286
Interquartile range (IQR)54282

Descriptive statistics

Standard deviation53650.94376
Coefficient of variation (CV)0.1512710073
Kurtosis11.24570528
Mean354667.7234
Median Absolute Deviation (MAD)30629
Skewness-2.853588681
Sum33338766
Variance2878423767
MonotonicityNot monotonic
2022-09-05T21:51:57.450934image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32877410
 
7.6%
39427710
 
7.6%
3389478
 
6.1%
3602226
 
4.6%
3626002
 
1.5%
3926792
 
1.5%
3932292
 
1.5%
3940712
 
1.5%
3922522
 
1.5%
2787932
 
1.5%
Other values (43)48
36.6%
(Missing)37
28.2%
ValueCountFrequency (%)
784191
0.8%
1042711
0.8%
2327311
0.8%
2647331
0.8%
2651931
0.8%
2697141
0.8%
2724681
0.8%
2787932
1.5%
3226731
0.8%
3287111
0.8%
ValueCountFrequency (%)
3967051
 
0.8%
39427710
7.6%
3940902
 
1.5%
3940872
 
1.5%
3940722
 
1.5%
3940712
 
1.5%
3940451
 
0.8%
3938441
 
0.8%
3937431
 
0.8%
3935131
 
0.8%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct31
Distinct (%)43.7%
Missing60
Missing (%)45.8%
Memory size1.1 KiB
tt13750872
10 
tt5957766
10 
tt7569592
tt7146326
tt11939550
Other values (26)
31 

Length

Max length10
Median length9
Mean length9.478873239
Min length9

Characters and Unicode

Total characters673
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)29.6%

Sample

1st rowtt8561620
2nd rowtt11477416
3rd rowtt11939550
4th rowtt11939550
5th rowtt11939550

Common Values

ValueCountFrequency (%)
tt1375087210
 
7.6%
tt595776610
 
7.6%
tt75695928
 
6.1%
tt71463266
 
4.6%
tt119395506
 
4.6%
tt125316622
 
1.5%
tt135990002
 
1.5%
tt135688762
 
1.5%
tt17148102
 
1.5%
tt88711282
 
1.5%
Other values (21)21
 
16.0%
(Missing)60
45.8%

Length

2022-09-05T21:51:57.557157image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt1375087210
14.1%
tt595776610
14.1%
tt75695928
 
11.3%
tt71463266
 
8.5%
tt119395506
 
8.5%
tt125316622
 
2.8%
tt135990002
 
2.8%
tt135688762
 
2.8%
tt17148102
 
2.8%
tt88711282
 
2.8%
Other values (21)21
29.6%

Most occurring characters

ValueCountFrequency (%)
t142
21.1%
176
11.3%
572
10.7%
770
10.4%
670
10.4%
953
 
7.9%
244
 
6.5%
041
 
6.1%
339
 
5.8%
836
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number531
78.9%
Lowercase Letter142
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
176
14.3%
572
13.6%
770
13.2%
670
13.2%
953
10.0%
244
8.3%
041
7.7%
339
7.3%
836
6.8%
430
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
t142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common531
78.9%
Latin142
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
176
14.3%
572
13.6%
770
13.2%
670
13.2%
953
10.0%
244
8.3%
041
7.7%
339
7.3%
836
6.8%
430
 
5.6%
Latin
ValueCountFrequency (%)
t142
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t142
21.1%
176
11.3%
572
10.7%
770
10.4%
670
10.4%
953
 
7.9%
244
 
6.5%
041
 
6.1%
339
 
5.8%
836
 
5.3%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct66
Distinct (%)53.7%
Missing8
Missing (%)6.1%
Memory size1.1 KiB
https://static.tvmaze.com/uploads/images/medium_portrait/253/632728.jpg
10 
https://static.tvmaze.com/uploads/images/medium_portrait/292/730286.jpg
10 
https://static.tvmaze.com/uploads/images/medium_portrait/291/728576.jpg
 
8
https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg
 
6
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg
 
6
Other values (61)
83 

Length

Max length72
Median length71
Mean length71.03252033
Min length69

Characters and Unicode

Total characters8737
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)38.2%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/294/735323.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/355/889716.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/277/693293.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/253/632728.jpg10
 
7.6%
https://static.tvmaze.com/uploads/images/medium_portrait/292/730286.jpg10
 
7.6%
https://static.tvmaze.com/uploads/images/medium_portrait/291/728576.jpg8
 
6.1%
https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg2
 
1.5%
https://static.tvmaze.com/uploads/images/medium_portrait/297/743815.jpg2
 
1.5%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731984.jpg2
 
1.5%
Other values (56)65
49.6%
(Missing)8
 
6.1%

Length

2022-09-05T21:51:57.650766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/253/632728.jpg10
 
8.1%
https://static.tvmaze.com/uploads/images/medium_portrait/292/730286.jpg10
 
8.1%
https://static.tvmaze.com/uploads/images/medium_portrait/291/728576.jpg8
 
6.5%
https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/medium_portrait/405/1014510.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg2
 
1.6%
https://static.tvmaze.com/uploads/images/medium_portrait/298/745480.jpg2
 
1.6%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731348.jpg2
 
1.6%
Other values (56)65
52.8%

Most occurring characters

ValueCountFrequency (%)
t861
 
9.9%
/861
 
9.9%
m615
 
7.0%
a615
 
7.0%
p492
 
5.6%
s492
 
5.6%
i492
 
5.6%
.369
 
4.2%
o369
 
4.2%
e369
 
4.2%
Other values (22)3202
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6150
70.4%
Other Punctuation1353
 
15.5%
Decimal Number1111
 
12.7%
Connector Punctuation123
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t861
14.0%
m615
10.0%
a615
10.0%
p492
 
8.0%
s492
 
8.0%
i492
 
8.0%
o369
 
6.0%
e369
 
6.0%
u246
 
4.0%
d246
 
4.0%
Other values (8)1353
22.0%
Decimal Number
ValueCountFrequency (%)
2204
18.4%
7141
12.7%
1126
11.3%
3109
9.8%
9105
9.5%
8103
9.3%
489
8.0%
583
7.5%
676
 
6.8%
075
 
6.8%
Other Punctuation
ValueCountFrequency (%)
/861
63.6%
.369
27.3%
:123
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6150
70.4%
Common2587
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t861
14.0%
m615
10.0%
a615
10.0%
p492
 
8.0%
s492
 
8.0%
i492
 
8.0%
o369
 
6.0%
e369
 
6.0%
u246
 
4.0%
d246
 
4.0%
Other values (8)1353
22.0%
Common
ValueCountFrequency (%)
/861
33.3%
.369
14.3%
2204
 
7.9%
7141
 
5.5%
1126
 
4.9%
_123
 
4.8%
:123
 
4.8%
3109
 
4.2%
9105
 
4.1%
8103
 
4.0%
Other values (4)323
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII8737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t861
 
9.9%
/861
 
9.9%
m615
 
7.0%
a615
 
7.0%
p492
 
5.6%
s492
 
5.6%
i492
 
5.6%
.369
 
4.2%
o369
 
4.2%
e369
 
4.2%
Other values (22)3202
36.6%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct66
Distinct (%)53.7%
Missing8
Missing (%)6.1%
Memory size1.1 KiB
https://static.tvmaze.com/uploads/images/original_untouched/253/632728.jpg
10 
https://static.tvmaze.com/uploads/images/original_untouched/292/730286.jpg
10 
https://static.tvmaze.com/uploads/images/original_untouched/291/728576.jpg
 
8
https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg
 
6
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg
 
6
Other values (61)
83 

Length

Max length75
Median length74
Mean length74.03252033
Min length72

Characters and Unicode

Total characters9106
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)38.2%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/294/735323.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/355/889716.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/277/693293.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/253/632728.jpg10
 
7.6%
https://static.tvmaze.com/uploads/images/original_untouched/292/730286.jpg10
 
7.6%
https://static.tvmaze.com/uploads/images/original_untouched/291/728576.jpg8
 
6.1%
https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg6
 
4.6%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg2
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/297/743815.jpg2
 
1.5%
https://static.tvmaze.com/uploads/images/original_untouched/292/731984.jpg2
 
1.5%
Other values (56)65
49.6%
(Missing)8
 
6.1%

Length

2022-09-05T21:51:57.744072image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/253/632728.jpg10
 
8.1%
https://static.tvmaze.com/uploads/images/original_untouched/292/730286.jpg10
 
8.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/728576.jpg8
 
6.5%
https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/original_untouched/405/1014510.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg6
 
4.9%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg2
 
1.6%
https://static.tvmaze.com/uploads/images/original_untouched/298/745480.jpg2
 
1.6%
https://static.tvmaze.com/uploads/images/original_untouched/292/731348.jpg2
 
1.6%
Other values (56)65
52.8%

Most occurring characters

ValueCountFrequency (%)
/861
 
9.5%
t738
 
8.1%
a615
 
6.8%
s492
 
5.4%
i492
 
5.4%
o492
 
5.4%
p369
 
4.1%
c369
 
4.1%
.369
 
4.1%
g369
 
4.1%
Other values (23)3940
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6519
71.6%
Other Punctuation1353
 
14.9%
Decimal Number1111
 
12.2%
Connector Punctuation123
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t738
 
11.3%
a615
 
9.4%
s492
 
7.5%
i492
 
7.5%
o492
 
7.5%
p369
 
5.7%
c369
 
5.7%
g369
 
5.7%
m369
 
5.7%
e369
 
5.7%
Other values (9)1845
28.3%
Decimal Number
ValueCountFrequency (%)
2204
18.4%
7141
12.7%
1126
11.3%
3109
9.8%
9105
9.5%
8103
9.3%
489
8.0%
583
7.5%
676
 
6.8%
075
 
6.8%
Other Punctuation
ValueCountFrequency (%)
/861
63.6%
.369
27.3%
:123
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6519
71.6%
Common2587
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t738
 
11.3%
a615
 
9.4%
s492
 
7.5%
i492
 
7.5%
o492
 
7.5%
p369
 
5.7%
c369
 
5.7%
g369
 
5.7%
m369
 
5.7%
e369
 
5.7%
Other values (9)1845
28.3%
Common
ValueCountFrequency (%)
/861
33.3%
.369
14.3%
2204
 
7.9%
7141
 
5.5%
1126
 
4.9%
:123
 
4.8%
_123
 
4.8%
3109
 
4.2%
9105
 
4.1%
8103
 
4.0%
Other values (4)323
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII9106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/861
 
9.5%
t738
 
8.1%
a615
 
6.8%
s492
 
5.4%
i492
 
5.4%
o492
 
5.4%
p369
 
4.1%
c369
 
4.1%
.369
 
4.1%
g369
 
4.1%
Other values (23)3940
43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct61
Distinct (%)50.4%
Missing10
Missing (%)7.6%
Memory size1.1 KiB
<p>This series centers on <b>Loudermilk </b>who is a recovering alcoholic and substance-abuse counselor with an extremely bad attitude about everything. He is unapologetically uncensored and has managed to piss off everyone. Although he has his drinking under control, Loudermilk's life is one step forward and 12 steps backwards.</p>
10 
<p>Antique and classic car dealer Drew Pritchard, motoring broadcaster Andy Jaye and racing driver Marino Franchitti set out to discover the greatest racing cars of all time.</p>
10 
<p><b>Chilling Adventures of Sabrina</b> reimagines the origin &amp; adventures of Sabrina the Teenage Witch as a dark coming-of-age story that traffics in horror, the occult and, of course, witchcraft. This adaptation finds Sabrina wrestling to reconcile her dual nature —half-witch, half-mortal — while standing against the evil forces that threaten her, her family and the daylight world humans inhabit.</p>
 
8
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>
 
6
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>
 
6
Other values (56)
81 

Length

Max length1483
Median length724
Mean length460.1404959
Min length90

Characters and Unicode

Total characters55677
Distinct characters88
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)33.1%

Sample

1st row<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
3rd row<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
4th row<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>
5th row<p>The hilarious adventures of the eldest apprentice of a sect who has a problem with his brain. Dongfang Xianyun is reincarnated as the eldest disciple of the Care-free sect. But the only thing that goes through his mind is to make sure he doesn't end up dying by the hands of the "main character". Read as he makes no sense to his sibling disciples while avoiding flags left and right.</p>

Common Values

ValueCountFrequency (%)
<p>This series centers on <b>Loudermilk </b>who is a recovering alcoholic and substance-abuse counselor with an extremely bad attitude about everything. He is unapologetically uncensored and has managed to piss off everyone. Although he has his drinking under control, Loudermilk's life is one step forward and 12 steps backwards.</p>10
 
7.6%
<p>Antique and classic car dealer Drew Pritchard, motoring broadcaster Andy Jaye and racing driver Marino Franchitti set out to discover the greatest racing cars of all time.</p>10
 
7.6%
<p><b>Chilling Adventures of Sabrina</b> reimagines the origin &amp; adventures of Sabrina the Teenage Witch as a dark coming-of-age story that traffics in horror, the occult and, of course, witchcraft. This adaptation finds Sabrina wrestling to reconcile her dual nature —half-witch, half-mortal — while standing against the evil forces that threaten her, her family and the daylight world humans inhabit.</p>8
 
6.1%
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>6
 
4.6%
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>6
 
4.6%
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>6
 
4.6%
<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>6
 
4.6%
<p>Built at strategic points, and fitted with impressive fortifications and ingenious systems to counter attacks, fortresses are thought to be impenetrable. And yet, certain skillful warlords have successfully stormed them. How did they manage this?</p><p>By recounting how some of the most remarkable sieges - in ancient times or in medieval history - played out, this series revisits the construction of these megastructures and reveals the different strategies used to lay or to endure a siege. Thanks to CGI, dramatized scenes, and with the help of key experts, it immerses us in the compelling confrontation between the construction genius of the military strategists and the ingenuity of some exceptional warriors.</p>3
 
2.3%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>2
 
1.5%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>2
 
1.5%
Other values (51)62
47.3%
(Missing)10
 
7.6%

Length

2022-09-05T21:51:57.913050image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the543
 
5.9%
and334
 
3.6%
of266
 
2.9%
to254
 
2.7%
a245
 
2.6%
in149
 
1.6%
is137
 
1.5%
her115
 
1.2%
with100
 
1.1%
his83
 
0.9%
Other values (1821)7056
76.0%

Most occurring characters

ValueCountFrequency (%)
9153
16.4%
e5115
 
9.2%
t3614
 
6.5%
a3579
 
6.4%
n3306
 
5.9%
i3246
 
5.8%
o3000
 
5.4%
r2828
 
5.1%
s2735
 
4.9%
h2379
 
4.3%
Other values (78)16722
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter42531
76.4%
Space Separator9161
 
16.5%
Uppercase Letter1636
 
2.9%
Other Punctuation1357
 
2.4%
Math Symbol768
 
1.4%
Dash Punctuation125
 
0.2%
Decimal Number69
 
0.1%
Format12
 
< 0.1%
Close Punctuation9
 
< 0.1%
Open Punctuation9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e5115
12.0%
t3614
 
8.5%
a3579
 
8.4%
n3306
 
7.8%
i3246
 
7.6%
o3000
 
7.1%
r2828
 
6.6%
s2735
 
6.4%
h2379
 
5.6%
l1750
 
4.1%
Other values (20)10979
25.8%
Uppercase Letter
ValueCountFrequency (%)
T196
 
12.0%
S156
 
9.5%
A120
 
7.3%
W115
 
7.0%
L113
 
6.9%
Y99
 
6.1%
X93
 
5.7%
C81
 
5.0%
H74
 
4.5%
D71
 
4.3%
Other values (16)518
31.7%
Other Punctuation
ValueCountFrequency (%)
,507
37.4%
.447
32.9%
/200
 
14.7%
'78
 
5.7%
"34
 
2.5%
?23
 
1.7%
;23
 
1.7%
!18
 
1.3%
:16
 
1.2%
&9
 
0.7%
Other values (2)2
 
0.1%
Decimal Number
ValueCountFrequency (%)
118
26.1%
217
24.6%
015
21.7%
95
 
7.2%
54
 
5.8%
63
 
4.3%
32
 
2.9%
72
 
2.9%
42
 
2.9%
81
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
-98
78.4%
25
 
20.0%
2
 
1.6%
Space Separator
ValueCountFrequency (%)
9153
99.9%
 8
 
0.1%
Math Symbol
ValueCountFrequency (%)
>384
50.0%
<384
50.0%
Format
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
)9
100.0%
Open Punctuation
ValueCountFrequency (%)
(9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin44167
79.3%
Common11510
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e5115
11.6%
t3614
 
8.2%
a3579
 
8.1%
n3306
 
7.5%
i3246
 
7.3%
o3000
 
6.8%
r2828
 
6.4%
s2735
 
6.2%
h2379
 
5.4%
l1750
 
4.0%
Other values (46)12615
28.6%
Common
ValueCountFrequency (%)
9153
79.5%
,507
 
4.4%
.447
 
3.9%
>384
 
3.3%
<384
 
3.3%
/200
 
1.7%
-98
 
0.9%
'78
 
0.7%
"34
 
0.3%
25
 
0.2%
Other values (22)200
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII55625
99.9%
Punctuation40
 
0.1%
None12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9153
16.5%
e5115
 
9.2%
t3614
 
6.5%
a3579
 
6.4%
n3306
 
5.9%
i3246
 
5.8%
o3000
 
5.4%
r2828
 
5.1%
s2735
 
4.9%
h2379
 
4.3%
Other values (69)16670
30.0%
Punctuation
ValueCountFrequency (%)
25
62.5%
12
30.0%
2
 
5.0%
1
 
2.5%
None
ValueCountFrequency (%)
 8
66.7%
ã1
 
8.3%
ê1
 
8.3%
ö1
 
8.3%
å1
 
8.3%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1643429430
Minimum1609438777
Maximum1662346277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-09-05T21:51:58.056183image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1609438777
5-th percentile1611132125
Q11633453569
median1649956202
Q31659629761
95-th percentile1661971135
Maximum1662346277
Range52907500
Interquartile range (IQR)26176192

Descriptive statistics

Standard deviation17715547.81
Coefficient of variation (CV)0.01077962186
Kurtosis-0.7802067829
Mean1643429430
Median Absolute Deviation (MAD)10305684
Skewness-0.7875500292
Sum2.152892554 × 1011
Variance3.138406344 × 1014
MonotonicityNot monotonic
2022-09-05T21:51:58.197848image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163345356910
 
7.6%
161113212510
 
7.6%
16602271488
 
6.1%
16543820716
 
4.6%
16506226516
 
4.6%
16602618866
 
4.6%
16619711356
 
4.6%
16390706203
 
2.3%
16144618932
 
1.5%
16549766662
 
1.5%
Other values (61)72
55.0%
ValueCountFrequency (%)
16094387771
 
0.8%
16094684032
 
1.5%
16101108411
 
0.8%
161113212510
7.6%
16119369521
 
0.8%
16125166641
 
0.8%
16131487841
 
0.8%
16144618932
 
1.5%
16149018052
 
1.5%
16156298561
 
0.8%
ValueCountFrequency (%)
16623462771
 
0.8%
16622908591
 
0.8%
16622800111
 
0.8%
16620117761
 
0.8%
16619711356
4.6%
16617704651
 
0.8%
16616322671
 
0.8%
16615261291
 
0.8%
16614348681
 
0.8%
16612693571
 
0.8%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/shows/19355
10 
https://api.tvmaze.com/shows/52847
10 
https://api.tvmaze.com/shows/32649
 
8
https://api.tvmaze.com/shows/41490
 
6
https://api.tvmaze.com/shows/61556
 
6
Other values (66)
91 

Length

Max length34
Median length34
Mean length33.96183206
Min length33

Characters and Unicode

Total characters4449
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)38.2%

Sample

1st rowhttps://api.tvmaze.com/shows/39115
2nd rowhttps://api.tvmaze.com/shows/7847
3rd rowhttps://api.tvmaze.com/shows/43722
4th rowhttps://api.tvmaze.com/shows/46688
5th rowhttps://api.tvmaze.com/shows/51065

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/1935510
 
7.6%
https://api.tvmaze.com/shows/5284710
 
7.6%
https://api.tvmaze.com/shows/326498
 
6.1%
https://api.tvmaze.com/shows/414906
 
4.6%
https://api.tvmaze.com/shows/615566
 
4.6%
https://api.tvmaze.com/shows/527846
 
4.6%
https://api.tvmaze.com/shows/394416
 
4.6%
https://api.tvmaze.com/shows/593803
 
2.3%
https://api.tvmaze.com/shows/538302
 
1.5%
https://api.tvmaze.com/shows/529362
 
1.5%
Other values (61)72
55.0%

Length

2022-09-05T21:51:58.310011image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/1935510
 
7.6%
https://api.tvmaze.com/shows/5284710
 
7.6%
https://api.tvmaze.com/shows/326498
 
6.1%
https://api.tvmaze.com/shows/414906
 
4.6%
https://api.tvmaze.com/shows/615566
 
4.6%
https://api.tvmaze.com/shows/527846
 
4.6%
https://api.tvmaze.com/shows/394416
 
4.6%
https://api.tvmaze.com/shows/593803
 
2.3%
https://api.tvmaze.com/shows/152502
 
1.5%
https://api.tvmaze.com/shows/536982
 
1.5%
Other values (61)72
55.0%

Most occurring characters

ValueCountFrequency (%)
/524
 
11.8%
s393
 
8.8%
t393
 
8.8%
h262
 
5.9%
p262
 
5.9%
a262
 
5.9%
o262
 
5.9%
.262
 
5.9%
m262
 
5.9%
e131
 
2.9%
Other values (16)1436
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2882
64.8%
Other Punctuation917
 
20.6%
Decimal Number650
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s393
13.6%
t393
13.6%
h262
9.1%
p262
9.1%
a262
9.1%
o262
9.1%
m262
9.1%
e131
 
4.5%
w131
 
4.5%
c131
 
4.5%
Other values (3)393
13.6%
Decimal Number
ValueCountFrequency (%)
5120
18.5%
492
14.2%
368
10.5%
266
10.2%
859
9.1%
157
8.8%
656
8.6%
955
8.5%
739
 
6.0%
038
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2882
64.8%
Common1567
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
33.4%
.262
16.7%
:131
 
8.4%
5120
 
7.7%
492
 
5.9%
368
 
4.3%
266
 
4.2%
859
 
3.8%
157
 
3.6%
656
 
3.6%
Other values (3)132
 
8.4%
Latin
ValueCountFrequency (%)
s393
13.6%
t393
13.6%
h262
9.1%
p262
9.1%
a262
9.1%
o262
9.1%
m262
9.1%
e131
 
4.5%
w131
 
4.5%
c131
 
4.5%
Other values (3)393
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
11.8%
s393
 
8.8%
t393
 
8.8%
h262
 
5.9%
p262
 
5.9%
a262
 
5.9%
o262
 
5.9%
.262
 
5.9%
m262
 
5.9%
e131
 
2.9%
Other values (16)1436
32.3%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct71
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/1998683
10 
https://api.tvmaze.com/episodes/2001674
10 
https://api.tvmaze.com/episodes/1949336
 
8
https://api.tvmaze.com/episodes/2324440
 
6
https://api.tvmaze.com/episodes/2312241
 
6
Other values (66)
91 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5109
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)38.2%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977905
2nd rowhttps://api.tvmaze.com/episodes/2338362
3rd rowhttps://api.tvmaze.com/episodes/1964003
4th rowhttps://api.tvmaze.com/episodes/2166184
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/199868310
 
7.6%
https://api.tvmaze.com/episodes/200167410
 
7.6%
https://api.tvmaze.com/episodes/19493368
 
6.1%
https://api.tvmaze.com/episodes/23244406
 
4.6%
https://api.tvmaze.com/episodes/23122416
 
4.6%
https://api.tvmaze.com/episodes/19986266
 
4.6%
https://api.tvmaze.com/episodes/23831616
 
4.6%
https://api.tvmaze.com/episodes/22342973
 
2.3%
https://api.tvmaze.com/episodes/20396272
 
1.5%
https://api.tvmaze.com/episodes/20077242
 
1.5%
Other values (61)72
55.0%

Length

2022-09-05T21:51:58.405333image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/199868310
 
7.6%
https://api.tvmaze.com/episodes/200167410
 
7.6%
https://api.tvmaze.com/episodes/19493368
 
6.1%
https://api.tvmaze.com/episodes/23244406
 
4.6%
https://api.tvmaze.com/episodes/23122416
 
4.6%
https://api.tvmaze.com/episodes/19986266
 
4.6%
https://api.tvmaze.com/episodes/23831616
 
4.6%
https://api.tvmaze.com/episodes/22342973
 
2.3%
https://api.tvmaze.com/episodes/23012762
 
1.5%
https://api.tvmaze.com/episodes/20358852
 
1.5%
Other values (61)72
55.0%

Most occurring characters

ValueCountFrequency (%)
/524
 
10.3%
t393
 
7.7%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
o262
 
5.1%
Other values (16)1703
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3275
64.1%
Other Punctuation917
 
17.9%
Decimal Number917
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t393
12.0%
p393
12.0%
s393
12.0%
e393
12.0%
a262
8.0%
i262
8.0%
m262
8.0%
o262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%
Decimal Number
ValueCountFrequency (%)
2166
18.1%
1117
12.8%
9105
11.5%
3100
10.9%
093
10.1%
683
9.1%
482
8.9%
871
7.7%
762
 
6.8%
538
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3275
64.1%
Common1834
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
28.6%
.262
14.3%
2166
 
9.1%
:131
 
7.1%
1117
 
6.4%
9105
 
5.7%
3100
 
5.5%
093
 
5.1%
683
 
4.5%
482
 
4.5%
Other values (3)171
 
9.3%
Latin
ValueCountFrequency (%)
t393
12.0%
p393
12.0%
s393
12.0%
e393
12.0%
a262
8.0%
i262
8.0%
m262
8.0%
o262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
10.3%
t393
 
7.7%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
o262
 
5.1%
Other values (16)1703
33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct7
Distinct (%)100.0%
Missing124
Missing (%)94.7%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/2338363
https://api.tvmaze.com/episodes/2381297
https://api.tvmaze.com/episodes/2371615
https://api.tvmaze.com/episodes/2370312
https://api.tvmaze.com/episodes/2383474
Other values (2)

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters273
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2338363
2nd rowhttps://api.tvmaze.com/episodes/2381297
3rd rowhttps://api.tvmaze.com/episodes/2371615
4th rowhttps://api.tvmaze.com/episodes/2370312
5th rowhttps://api.tvmaze.com/episodes/2383474

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23383631
 
0.8%
https://api.tvmaze.com/episodes/23812971
 
0.8%
https://api.tvmaze.com/episodes/23716151
 
0.8%
https://api.tvmaze.com/episodes/23703121
 
0.8%
https://api.tvmaze.com/episodes/23834741
 
0.8%
https://api.tvmaze.com/episodes/23797031
 
0.8%
https://api.tvmaze.com/episodes/23820431
 
0.8%
(Missing)124
94.7%

Length

2022-09-05T21:51:58.500911image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:58.604737image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23383631
14.3%
https://api.tvmaze.com/episodes/23812971
14.3%
https://api.tvmaze.com/episodes/23716151
14.3%
https://api.tvmaze.com/episodes/23703121
14.3%
https://api.tvmaze.com/episodes/23834741
14.3%
https://api.tvmaze.com/episodes/23797031
14.3%
https://api.tvmaze.com/episodes/23820431
14.3%

Most occurring characters

ValueCountFrequency (%)
/28
 
10.3%
p21
 
7.7%
s21
 
7.7%
e21
 
7.7%
t21
 
7.7%
o14
 
5.1%
314
 
5.1%
a14
 
5.1%
i14
 
5.1%
.14
 
5.1%
Other values (16)91
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter175
64.1%
Other Punctuation49
 
17.9%
Decimal Number49
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p21
12.0%
s21
12.0%
e21
12.0%
t21
12.0%
o14
8.0%
a14
8.0%
i14
8.0%
m14
8.0%
h7
 
4.0%
d7
 
4.0%
Other values (3)21
12.0%
Decimal Number
ValueCountFrequency (%)
314
28.6%
210
20.4%
76
12.2%
84
 
8.2%
14
 
8.2%
03
 
6.1%
43
 
6.1%
62
 
4.1%
92
 
4.1%
51
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/28
57.1%
.14
28.6%
:7
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin175
64.1%
Common98
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/28
28.6%
314
14.3%
.14
14.3%
210
 
10.2%
:7
 
7.1%
76
 
6.1%
84
 
4.1%
14
 
4.1%
03
 
3.1%
43
 
3.1%
Other values (3)5
 
5.1%
Latin
ValueCountFrequency (%)
p21
12.0%
s21
12.0%
e21
12.0%
t21
12.0%
o14
8.0%
a14
8.0%
i14
8.0%
m14
8.0%
h7
 
4.0%
d7
 
4.0%
Other values (3)21
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/28
 
10.3%
p21
 
7.7%
s21
 
7.7%
e21
 
7.7%
t21
 
7.7%
o14
 
5.1%
314
 
5.1%
a14
 
5.1%
i14
 
5.1%
.14
 
5.1%
Other values (16)91
33.3%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show.network.id
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing125
Missing (%)95.4%
Memory size1.1 KiB
1808.0
308.0
1766.0
127.0
112.0

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters33
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row308.0
2nd row1766.0
3rd row1808.0
4th row1808.0
5th row127.0

Common Values

ValueCountFrequency (%)
1808.02
 
1.5%
308.01
 
0.8%
1766.01
 
0.8%
127.01
 
0.8%
112.01
 
0.8%
(Missing)125
95.4%

Length

2022-09-05T21:51:58.704699image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:58.797791image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
1808.02
33.3%
308.01
16.7%
1766.01
16.7%
127.01
16.7%
112.01
16.7%

Most occurring characters

ValueCountFrequency (%)
09
27.3%
16
18.2%
.6
18.2%
85
15.2%
72
 
6.1%
62
 
6.1%
22
 
6.1%
31
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27
81.8%
Other Punctuation6
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
09
33.3%
16
22.2%
85
18.5%
72
 
7.4%
62
 
7.4%
22
 
7.4%
31
 
3.7%
Other Punctuation
ValueCountFrequency (%)
.6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
09
27.3%
16
18.2%
.6
18.2%
85
15.2%
72
 
6.1%
62
 
6.1%
22
 
6.1%
31
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
09
27.3%
16
18.2%
.6
18.2%
85
15.2%
72
 
6.1%
62
 
6.1%
22
 
6.1%
31
 
3.0%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing125
Missing (%)95.4%
Memory size1.1 KiB
MBC Masr
ТНТ
Alarby Television
SBS
RTL4

Length

Max length17
Median length8
Mean length7.166666667
Min length3

Characters and Unicode

Total characters43
Distinct characters23
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st rowТНТ
2nd rowAlarby Television
3rd rowMBC Masr
4th rowMBC Masr
5th rowSBS

Common Values

ValueCountFrequency (%)
MBC Masr2
 
1.5%
ТНТ1
 
0.8%
Alarby Television1
 
0.8%
SBS1
 
0.8%
RTL41
 
0.8%
(Missing)125
95.4%

Length

2022-09-05T21:51:58.893386image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:58.995689image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
mbc2
22.2%
masr2
22.2%
тнт1
11.1%
alarby1
11.1%
television1
11.1%
sbs1
11.1%
rtl41
11.1%

Most occurring characters

ValueCountFrequency (%)
M4
 
9.3%
3
 
7.0%
a3
 
7.0%
s3
 
7.0%
r3
 
7.0%
B3
 
7.0%
l2
 
4.7%
e2
 
4.7%
T2
 
4.7%
S2
 
4.7%
Other values (13)16
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter20
46.5%
Uppercase Letter19
44.2%
Space Separator3
 
7.0%
Decimal Number1
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a3
15.0%
s3
15.0%
r3
15.0%
l2
10.0%
e2
10.0%
i2
10.0%
o1
 
5.0%
n1
 
5.0%
b1
 
5.0%
v1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
M4
21.1%
B3
15.8%
T2
10.5%
S2
10.5%
Т2
10.5%
C2
10.5%
R1
 
5.3%
L1
 
5.3%
A1
 
5.3%
Н1
 
5.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin36
83.7%
Common4
 
9.3%
Cyrillic3
 
7.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
M4
 
11.1%
a3
 
8.3%
s3
 
8.3%
r3
 
8.3%
B3
 
8.3%
l2
 
5.6%
e2
 
5.6%
T2
 
5.6%
S2
 
5.6%
i2
 
5.6%
Other values (9)10
27.8%
Common
ValueCountFrequency (%)
3
75.0%
41
 
25.0%
Cyrillic
ValueCountFrequency (%)
Т2
66.7%
Н1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII40
93.0%
Cyrillic3
 
7.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M4
 
10.0%
3
 
7.5%
a3
 
7.5%
s3
 
7.5%
r3
 
7.5%
B3
 
7.5%
l2
 
5.0%
e2
 
5.0%
T2
 
5.0%
S2
 
5.0%
Other values (11)13
32.5%
Cyrillic
ValueCountFrequency (%)
Т2
66.7%
Н1
33.3%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing125
Missing (%)95.4%
Memory size1.1 KiB
Egypt
Russian Federation
Saudi Arabia
Korea, Republic of
Netherlands

Length

Max length18
Median length12
Mean length11.5
Min length5

Characters and Unicode

Total characters69
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st rowRussian Federation
2nd rowSaudi Arabia
3rd rowEgypt
4th rowEgypt
5th rowKorea, Republic of

Common Values

ValueCountFrequency (%)
Egypt2
 
1.5%
Russian Federation1
 
0.8%
Saudi Arabia1
 
0.8%
Korea, Republic of1
 
0.8%
Netherlands1
 
0.8%
(Missing)125
95.4%

Length

2022-09-05T21:51:59.091899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:59.198701image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
egypt2
20.0%
russian1
10.0%
federation1
10.0%
saudi1
10.0%
arabia1
10.0%
korea1
10.0%
republic1
10.0%
of1
10.0%
netherlands1
10.0%

Most occurring characters

ValueCountFrequency (%)
a7
 
10.1%
e6
 
8.7%
i5
 
7.2%
t4
 
5.8%
4
 
5.8%
r4
 
5.8%
d3
 
4.3%
p3
 
4.3%
u3
 
4.3%
s3
 
4.3%
Other values (17)27
39.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter55
79.7%
Uppercase Letter9
 
13.0%
Space Separator4
 
5.8%
Other Punctuation1
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a7
12.7%
e6
10.9%
i5
 
9.1%
t4
 
7.3%
r4
 
7.3%
d3
 
5.5%
p3
 
5.5%
u3
 
5.5%
s3
 
5.5%
n3
 
5.5%
Other values (8)14
25.5%
Uppercase Letter
ValueCountFrequency (%)
E2
22.2%
R2
22.2%
F1
11.1%
S1
11.1%
A1
11.1%
K1
11.1%
N1
11.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
,1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin64
92.8%
Common5
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a7
 
10.9%
e6
 
9.4%
i5
 
7.8%
t4
 
6.2%
r4
 
6.2%
d3
 
4.7%
p3
 
4.7%
u3
 
4.7%
s3
 
4.7%
n3
 
4.7%
Other values (15)23
35.9%
Common
ValueCountFrequency (%)
4
80.0%
,1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII69
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a7
 
10.1%
e6
 
8.7%
i5
 
7.2%
t4
 
5.8%
4
 
5.8%
r4
 
5.8%
d3
 
4.3%
p3
 
4.3%
u3
 
4.3%
s3
 
4.3%
Other values (17)27
39.1%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing125
Missing (%)95.4%
Memory size1.1 KiB
EG
RU
SA
KR
NL

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters12
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st rowRU
2nd rowSA
3rd rowEG
4th rowEG
5th rowKR

Common Values

ValueCountFrequency (%)
EG2
 
1.5%
RU1
 
0.8%
SA1
 
0.8%
KR1
 
0.8%
NL1
 
0.8%
(Missing)125
95.4%

Length

2022-09-05T21:51:59.296396image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:59.401406image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
eg2
33.3%
ru1
16.7%
sa1
16.7%
kr1
16.7%
nl1
16.7%

Most occurring characters

ValueCountFrequency (%)
E2
16.7%
G2
16.7%
R2
16.7%
U1
8.3%
S1
8.3%
A1
8.3%
K1
8.3%
N1
8.3%
L1
8.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter12
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E2
16.7%
G2
16.7%
R2
16.7%
U1
8.3%
S1
8.3%
A1
8.3%
K1
8.3%
N1
8.3%
L1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Latin12
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E2
16.7%
G2
16.7%
R2
16.7%
U1
8.3%
S1
8.3%
A1
8.3%
K1
8.3%
N1
8.3%
L1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E2
16.7%
G2
16.7%
R2
16.7%
U1
8.3%
S1
8.3%
A1
8.3%
K1
8.3%
N1
8.3%
L1
8.3%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing125
Missing (%)95.4%
Memory size1.1 KiB
Africa/Cairo
Asia/Kamchatka
Asia/Riyadh
Asia/Seoul
Europe/Amsterdam

Length

Max length16
Median length13
Mean length12.5
Min length10

Characters and Unicode

Total characters75
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Riyadh
3rd rowAfrica/Cairo
4th rowAfrica/Cairo
5th rowAsia/Seoul

Common Values

ValueCountFrequency (%)
Africa/Cairo2
 
1.5%
Asia/Kamchatka1
 
0.8%
Asia/Riyadh1
 
0.8%
Asia/Seoul1
 
0.8%
Europe/Amsterdam1
 
0.8%
(Missing)125
95.4%

Length

2022-09-05T21:51:59.517784image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:51:59.755379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
africa/cairo2
33.3%
asia/kamchatka1
16.7%
asia/riyadh1
16.7%
asia/seoul1
16.7%
europe/amsterdam1
16.7%

Most occurring characters

ValueCountFrequency (%)
a12
16.0%
i8
 
10.7%
A6
 
8.0%
r6
 
8.0%
/6
 
8.0%
o4
 
5.3%
s4
 
5.3%
c3
 
4.0%
e3
 
4.0%
m3
 
4.0%
Other values (14)20
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter57
76.0%
Uppercase Letter12
 
16.0%
Other Punctuation6
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a12
21.1%
i8
14.0%
r6
10.5%
o4
 
7.0%
s4
 
7.0%
c3
 
5.3%
e3
 
5.3%
m3
 
5.3%
t2
 
3.5%
u2
 
3.5%
Other values (7)10
17.5%
Uppercase Letter
ValueCountFrequency (%)
A6
50.0%
C2
 
16.7%
R1
 
8.3%
S1
 
8.3%
K1
 
8.3%
E1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin69
92.0%
Common6
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a12
17.4%
i8
11.6%
A6
 
8.7%
r6
 
8.7%
o4
 
5.8%
s4
 
5.8%
c3
 
4.3%
e3
 
4.3%
m3
 
4.3%
t2
 
2.9%
Other values (13)18
26.1%
Common
ValueCountFrequency (%)
/6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a12
16.0%
i8
 
10.7%
A6
 
8.0%
r6
 
8.0%
/6
 
8.0%
o4
 
5.3%
s4
 
5.3%
c3
 
4.0%
e3
 
4.0%
m3
 
4.0%
Other values (14)20
26.7%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing129
Missing (%)98.5%
Memory size1.1 KiB
Korea, Republic of

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters36
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKorea, Republic of
2nd rowKorea, Republic of

Common Values

ValueCountFrequency (%)
Korea, Republic of2
 
1.5%
(Missing)129
98.5%

Length

2022-09-05T21:51:59.963257image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:52:00.147195image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
korea2
33.3%
republic2
33.3%
of2
33.3%

Most occurring characters

ValueCountFrequency (%)
o4
 
11.1%
e4
 
11.1%
4
 
11.1%
K2
 
5.6%
r2
 
5.6%
a2
 
5.6%
,2
 
5.6%
R2
 
5.6%
p2
 
5.6%
u2
 
5.6%
Other values (5)10
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter26
72.2%
Space Separator4
 
11.1%
Uppercase Letter4
 
11.1%
Other Punctuation2
 
5.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o4
15.4%
e4
15.4%
r2
7.7%
a2
7.7%
p2
7.7%
u2
7.7%
b2
7.7%
l2
7.7%
i2
7.7%
c2
7.7%
Uppercase Letter
ValueCountFrequency (%)
K2
50.0%
R2
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
,2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin30
83.3%
Common6
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o4
13.3%
e4
13.3%
K2
 
6.7%
r2
 
6.7%
a2
 
6.7%
R2
 
6.7%
p2
 
6.7%
u2
 
6.7%
b2
 
6.7%
l2
 
6.7%
Other values (3)6
20.0%
Common
ValueCountFrequency (%)
4
66.7%
,2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o4
 
11.1%
e4
 
11.1%
4
 
11.1%
K2
 
5.6%
r2
 
5.6%
a2
 
5.6%
,2
 
5.6%
R2
 
5.6%
p2
 
5.6%
u2
 
5.6%
Other values (5)10
27.8%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing129
Missing (%)98.5%
Memory size1.1 KiB
KR

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKR
2nd rowKR

Common Values

ValueCountFrequency (%)
KR2
 
1.5%
(Missing)129
98.5%

Length

2022-09-05T21:52:00.267785image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:52:00.383035image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
kr2
100.0%

Most occurring characters

ValueCountFrequency (%)
K2
50.0%
R2
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter4
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K2
50.0%
R2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
K2
50.0%
R2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K2
50.0%
R2
50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing129
Missing (%)98.5%
Memory size1.1 KiB
Asia/Seoul

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters20
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAsia/Seoul
2nd rowAsia/Seoul

Common Values

ValueCountFrequency (%)
Asia/Seoul2
 
1.5%
(Missing)129
98.5%

Length

2022-09-05T21:52:00.479324image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-05T21:52:00.583554image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/seoul2
100.0%

Most occurring characters

ValueCountFrequency (%)
A2
10.0%
s2
10.0%
i2
10.0%
a2
10.0%
/2
10.0%
S2
10.0%
e2
10.0%
o2
10.0%
u2
10.0%
l2
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter14
70.0%
Uppercase Letter4
 
20.0%
Other Punctuation2
 
10.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s2
14.3%
i2
14.3%
a2
14.3%
e2
14.3%
o2
14.3%
u2
14.3%
l2
14.3%
Uppercase Letter
ValueCountFrequency (%)
A2
50.0%
S2
50.0%
Other Punctuation
ValueCountFrequency (%)
/2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin18
90.0%
Common2
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A2
11.1%
s2
11.1%
i2
11.1%
a2
11.1%
S2
11.1%
e2
11.1%
o2
11.1%
u2
11.1%
l2
11.1%
Common
ValueCountFrequency (%)
/2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A2
10.0%
s2
10.0%
i2
10.0%
a2
10.0%
/2
10.0%
S2
10.0%
e2
10.0%
o2
10.0%
u2
10.0%
l2
10.0%

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing131
Missing (%)100.0%
Memory size1.1 KiB

Interactions

2022-09-05T21:51:48.167466image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:37.033690image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:38.016405image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:39.004239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:39.953839image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:40.829258image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:41.666857image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:42.575572image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:43.494581image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:44.432825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:45.325767image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:46.241555image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:47.165653image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:48.248598image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:37.204809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:38.087412image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:39.071327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:40.017967image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:40.892949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:41.734959image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:42.641201image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:43.564073image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:44.498062image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:45.390766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:46.305525image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:47.238146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:48.356789image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:37.279253image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:38.168522image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:39.151480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:40.091153image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:40.960301image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:41.808087image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:42.712068image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:43.642103image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:44.566621image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:45.469823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:46.379649image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:47.324752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:48.480391image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2022-09-05T21:51:37.347325image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
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Correlations

2022-09-05T21:52:00.689888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-05T21:52:00.948671image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-05T21:52:01.197506image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-05T21:52:01.501384image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-09-05T21:51:49.718387image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-05T21:51:50.504016image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-05T21:51:51.103929image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummaryrating.averageimage.mediumimage.original_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage_embedded.show._links.nextepisode.href_embedded.show.webChannel.country_embedded.show.image_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.dvdCountry.name_embedded.show.dvdCountry.code_embedded.show.dvdCountry.timezone_embedded.show.webChannel
01977902https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15Серия 1526.0regular2020-12-3110:002020-12-30T22:00:00+00:0056.0NoneNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/291/728565.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/728565.jpghttps://api.tvmaze.com/episodes/197790239115https://www.tvmaze.com/shows/39115/obycnaa-zensinaОбычная женщинаScriptedRussian[Drama, Crime, Mystery]Ended50.048.02018-10-292021-01-07https://premier.one/show/840522:00[Monday, Tuesday, Wednesday, Thursday]7.739NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNaNNaN345280.0tt8561620https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>1610110841https://api.tvmaze.com/shows/39115https://api.tvmaze.com/episodes/1977905NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12015818https://www.tvmaze.com/episodes/2015818/po-sezonu-videodajdzest-seasonvar-6x53-vypusk-307Выпуск 307653.0regular2020-12-312020-12-31T00:00:00+00:009.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/20158187847https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvarПо сезону. Видеодайджест SeasonvarTalk ShowRussian[]Running9.08.02015-02-13Nonehttp://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html[Friday]NaN63NaN56.0SeasonvarRussian FederationRUAsia/KamchatkaNoneNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/294/735323.jpghttps://static.tvmaze.com/uploads/images/original_untouched/294/735323.jpg<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>1662290859https://api.tvmaze.com/shows/7847https://api.tvmaze.com/episodes/2338362NaNhttps://api.tvmaze.com/episodes/2338363NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21964000https://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-23Серия 23210.0regular2020-12-312020-12-31T00:00:00+00:0025.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/196400043722https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit257 причин, чтобы житьScriptedRussian[Drama, Comedy]EndedNaN24.02020-03-262021-01-21https://start.ru/watch/257-prichin-chtoby-zhit[Thursday]NaN73NaN245.0StartRussian FederationRUAsia/KamchatkaNoneNaNNaN377678.0tt11477416https://static.tvmaze.com/uploads/images/medium_portrait/260/651809.jpghttps://static.tvmaze.com/uploads/images/original_untouched/260/651809.jpg<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>1653640849https://api.tvmaze.com/shows/43722https://api.tvmaze.com/episodes/1964003NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
31995405https://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacaloНачало2NaNsignificant_special2020-12-312020-12-31T00:00:00+00:0067.0None9.5https://static.tvmaze.com/uploads/images/medium_landscape/291/728529.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/728529.jpghttps://api.tvmaze.com/episodes/199540546688https://www.tvmaze.com/shows/46688/proekt-anna-nikolaevnaПроект "Анна Николаевна"ScriptedRussian[Drama, Comedy, Science-Fiction]To Be Determined50.050.02020-03-26Nonehttps://hd.kinopoisk.ru/film/48ec62883cb1bfc8a65154fcd3749b7200:00[Thursday]NaN71NaN381.0КиноПоиск HDRussian FederationRUAsia/Kamchatkahttps://hd.kinopoisk.ru/NaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/355/889716.jpghttps://static.tvmaze.com/uploads/images/original_untouched/355/889716.jpgNone1649796479https://api.tvmaze.com/shows/46688https://api.tvmaze.com/episodes/2166184NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
42007760https://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasovЯрослав Кондрашов112.0regular2020-12-3112:002020-12-31T00:00:00+00:0017.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/200776051065https://www.tvmaze.com/shows/51065/stand-up-autsajdStand Up АутсайдVarietyRussian[]Ended40.028.02020-10-132020-12-31https://premier.one/show/13734[Monday]NaN4NaN21.0YouTubeNaNNaNNaNhttps://www.youtube.comNaNNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/277/693293.jpghttps://static.tvmaze.com/uploads/images/original_untouched/277/693293.jpg<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>1616719192https://api.tvmaze.com/shows/51065https://api.tvmaze.com/episodes/2007760NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
51985789https://www.tvmaze.com/episodes/1985789/theres-a-pit-in-my-senior-martial-brothers-brain-2x11-episode-11Episode 11211.0regular2020-12-3111:002020-12-31T03:00:00+00:0020.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/198578938031https://www.tvmaze.com/shows/38031/theres-a-pit-in-my-senior-martial-brothers-brainThere's a Pit in My Senior Martial Brother's BrainAnimationChinese[Comedy, Action, Adventure, Anime]To Be Determined20.010.02018-04-04Nonehttps://www.bilibili.com/bangumi/media/md17632/11:00[Thursday]NaN18NaN51.0BilibiliChinaCNAsia/ShanghaiNoneNaNNaN391377.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/288/722315.jpghttps://static.tvmaze.com/uploads/images/original_untouched/288/722315.jpg<p>The hilarious adventures of the eldest apprentice of a sect who has a problem with his brain. Dongfang Xianyun is reincarnated as the eldest disciple of the Care-free sect. But the only thing that goes through his mind is to make sure he doesn't end up dying by the hands of the "main character". Read as he makes no sense to his sibling disciples while avoiding flags left and right.</p>1652909893https://api.tvmaze.com/shows/38031https://api.tvmaze.com/episodes/1985791NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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1262005098https://www.tvmaze.com/episodes/2005098/carl-webers-the-family-business-2x08-the-nuclear-optionThe Nuclear Option28.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0<p>The war heats up as the Duncans deploy the nuclear option, shutting down HEAT and recruiting allies. Paris finally takes responsibility for her actions.</p>NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/292/731233.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/731233.jpghttps://api.tvmaze.com/episodes/200509839441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish[Drama, Crime, Thriller]Running60.060.02018-11-13Nonehttps://www.bet.plus/shows/the-family-business21:00[]5.096NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1661971135https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2383161NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1272005099https://www.tvmaze.com/episodes/2005099/carl-webers-the-family-business-2x09-mothers-and-their-sonsMothers and Their Sons29.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0<p>Junior and Sonya make landfall in Cuba. Chippy and Nevada take a trip. Consuela seeks protection from her husband Alejandro. Who is Sage?</p><p> </p><p><br /> </p>NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/292/732198.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/732198.jpghttps://api.tvmaze.com/episodes/200509939441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish[Drama, Crime, Thriller]Running60.060.02018-11-13Nonehttps://www.bet.plus/shows/the-family-business21:00[]5.096NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1661971135https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2383161NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1282005100https://www.tvmaze.com/episodes/2005100/carl-webers-the-family-business-2x10-i-dont-want-to-lose-my-queenI Don't Want to Lose My Queen210.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0<p>Brother X begins to unravel. Sasha and Elijah play an enlightening game of chess. What does Billionaire Alexander Cora want?</p><p> </p><p><br /> </p>NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/292/732194.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/732194.jpghttps://api.tvmaze.com/episodes/200510039441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish[Drama, Crime, Thriller]Running60.060.02018-11-13Nonehttps://www.bet.plus/shows/the-family-business21:00[]5.096NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1661971135https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2383161NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1292005101https://www.tvmaze.com/episodes/2005101/carl-webers-the-family-business-2x11-deploy-the-dronesDeploy the Drones211.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0<p>The war between the Duncans and Brother X is finally coming to a conclusion and the Duncans are back to business as usual.</p>NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/292/732197.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/732197.jpghttps://api.tvmaze.com/episodes/200510139441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish[Drama, Crime, Thriller]Running60.060.02018-11-13Nonehttps://www.bet.plus/shows/the-family-business21:00[]5.096NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1661971135https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2383161NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1302005102https://www.tvmaze.com/episodes/2005102/carl-webers-the-family-business-2x12-the-hunt-for-brother-xThe Hunt for Brother X212.0regular2020-12-3121:002021-01-01T02:00:00+00:0060.0<p>LC must decide Elijah's fate as his sons hunt down a deranged Brother X. Meanwhile Billionaire Alexander Cora plots against the unsuspecting Duncans to takeover HEAT.</p>NaNhttps://static.tvmaze.com/uploads/images/medium_landscape/292/731226.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/731226.jpghttps://api.tvmaze.com/episodes/200510239441https://www.tvmaze.com/shows/39441/carl-webers-the-family-businessCarl Weber's The Family BusinessScriptedEnglish[Drama, Crime, Thriller]Running60.060.02018-11-13Nonehttps://www.bet.plus/shows/the-family-business21:00[]5.096NaN351.0BET+United StatesUSAmerica/New_YorkNoneNaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1661971135https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2383161NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN